4

Math HIIS Spring 2020 Assignment 64 Out 0f35 marksCnmmmarcntuctam;QcAnHLILALLAAa: aaenmicota will not acccpled_ Eoundrnmretsbeuld contulnrerr IudhlduLnrk Do not sha...

Question

Math HIIS Spring 2020 Assignment 64 Out 0f35 marksCnmmmarcntuctam;QcAnHLILALLAAa: aaenmicota will not acccpled_ Eoundrnmretsbeuld contulnrerr IudhlduLnrk Do not share Mny parl of you KonD t crrlor assignnicnt Scan submit_ on Mondle pdf file. Assignnicnts willb muked oncecnid clarity . completene conecua nlhnlt clean conyof vour erp cople = ROF meEcedForeich punt applcable of the following questions You Inust includo_Ldtche! oftkc AppIuTIc distnibution Indicate cleuly which ALcl arc bting contide

Math HIIS Spring 2020 Assignment 64 Out 0f35 marks Cnmmmarcn tuctam; QcAnHLILALLAAa: aaenmicota will not acccpled_ Eoundrnmretsbeuld contulnrerr IudhlduLnrk Do not share Mny parl of you KonD t crrlor assignnicnt Scan submit_ on Mondle pdf file. Assignnicnts willb muked oncecnid clarity . completene conecua nlhnlt clean conyof vour erp cople = ROF meEced Foreich punt applcable of the following questions You Inust includo_Ldtche! oftkc AppIuTIc distnibution Indicate cleuly which ALcl arc bting contidered in [hc clculations He ceruln Jen=acllyunhat huuncalculatlor 4ad Wethacorrect nottlon prohnhilnr (15] A) Tha manag crncnt 0fa mall in my ncighborhood cluims that 7S% of the shopprrs to thc mll4o [oqucnt shoppcrs (shop 5 or iriore timcs per month) shozpfr; Fhink Ial dctc are motc ficquent 'shopacr than what thc tnanagcr sys Test myr chim aahc 5%0 Iavel Ordefrancc 19 shoppcta found that 78.4 % wcre frcquent shopzcrs Usc the cntical value #pproach Use the Yalue Inproach Dcteminc 958 : contiderce Dlenr Lhe prozortion sboppcrx [10] 4) [ts kown that IQ scorcs nomally distribuled with standard dcviation of 15.An SRS of [3 Aalidtic s professot yicld< standard deviation Pchologist A thinks Intstihstics profcssur: bve IQ scorcs with standurd devialion lowcr than |5 (because stutistics ptolcssors have less variation than the gcncra ponulationi Jcx thc psychologist' $ clamt Agificancc Use the critical valuc "pprujck B) Cakculale = 958 - confidence nlcnlorinc slanoddrrunon ofIQ score arnonp Aituttce cocsson



Answers

Please do the following. (a) Draw a scatter diagram displaying the data. (b) Verify the given sums $\Sigma x, \Sigma y, \Sigma x^{2}, \Sigma y^{2},$ and $\Sigma x y$ and the value of the sample correlation coefficient $r$. (c) Find $\bar{x}, \bar{y}, a,$ and $b .$ Then find the equation of the least-squares line $\hat{y}=a+b x$. (d) Graph the least-squares line on your scatter diagram. Be sure to use the point $(\bar{x}, \bar{y})$ as one of the points on the line. (e) Interpretation Find the value of the coefficient of determination $r^{2} .$ What percentage of the variation in $y$ can be explained by the corresponding variation in $x$ and the least-squares line? What percentage is unexplained? Answers may vary slightly due to rounding. Data for this problem are based on information taken from Prehistoric New Mexico: Background for Survey (by D. E. Stuart and R. P. Gauthier, University of New Mexico Press). It is thought that prehistoric Indians did not take their best tools, pottery, and household items when they visited higher elevations for their summer camps. It is hypothesized that archaeological sites tend to lose their cultural identity and specific cultural affiliation as the elevation of the site increases. Let $x$ be the elevation (in thousands of feet) of an archaeological site in the southwestern United States. Let $y$ be the percentage of unidentified artifacts (no specific cultural affiliation) at a given elevation. The following data were obtained for a collection of archaeological sites in New Mexico: $$\begin{array}{c|ccccc}\hline x & 5.25 & 5.75 & 6.25 & 6.75 & 7.25 \\\hline y & 19 & 13 & 33 & 37 & 62 \\\hline\end{array}$$ Complete parts (a) through (e), given $\Sigma x=31.25, \Sigma y=164, \Sigma x^{2}=197.813, \Sigma y^{2}=6832, \Sigma x y=1080$ and $r \approx 0.913$. (f) At an archaeological site with elevation 6.5 (thousand feet), what does the least-squares equation forecast for $y=$ percentage of culturally unidentified artifacts?

Were given the set of data points listed at the top of this whiteboard X fly. And we want to use these data points to answer the following questions. A through F. Starting off with part A on the left, we want to produce a scatter plot of these data points. I've already included the scatter plot. As you can see where the data points X. Y are demarcated by the black crosses or exits next to the right and part B. We want to compute the sum is relevant to the state to as well as the Pearson correlation coefficient. R The sums are given by following the forms exactly. So some access to some of the X values. Some why is some of the individual Y values and so on. To compute are we use the following formula which takes us input, our sample size and and the Sun is just computed. This gives our equals .9126. Next below. In parts you want to find the equation of the line of best fit which requires finding these parameters first are simple mean X bar and a sample mean Y bar are given by the sum of our X values about it by n 6.25 And some of our Y values over M 32.8. Yeah, we can find the parameters for our best fit. Line being a. As follows. The slope B is given by the equation here, which takes us input and the sample size and the sums we found above Plugging In. We get the equal 22 and then plugging in. Ry bar be an X bar to our A equation on the right gives us intercept negative 104.7. This means we have equation for the line of best fit why hat equals negative 104.7 plus 22 X. Next part Do we want to return to the scatter plot on the left and graph ry hat. Doing so we want to make sure we include our X. Men and women, which looks like this next in the bottom right part. You want to calculate? The coefficient of determination are square and interpret its meaning. This is simply the square of the correlation coefficient 0.83 to eight. We interpret this to mean that roughly 83 of the variation of the data can be explained by the corresponding variation and excellently squares line 17 of the data accordingly cannot be explained by this. Finally, in part, after the bottom, we predict y where x equals 6.5 Plugging into our white hat, we obtain 38.3.

First one. The test for a unit root in series you rate unemployment rate using the usual dickey fuller test with a constant yeah. And the augmented dickey fuller with two legs of change of unemployment rate. I find that seven both times we are unable to reject the now hypothesis that unemployment rate series is a unit fruit. The legs are not significant. However, the significance of the legs matters. So the outcome of the unit root test, we will repeat what we have done in part one two series vacancy rate and report the result in part two. I guess similar result. So the rate is a unit root. Well part one and two. I use package the R. Package A. T. S. A. And the function is a D. F. Dot test. R. Three. We assuming that unemployment rate and vacation re rate are both integrated of level one. We test for co integration using the angle grandeur test with no legs. So the step the steps are as follow. We first regress, you read on the rate then we yet the residual and we run the key fuller has on the residual to see whether the residuals our unit root. I find that you're right and we rate Arco integrated at the 5% level. Yeah Heart Forest. I get the leads and lacks estimator of the change in vacancy rate and I did note that uh CB rates up minus one. This is for the lack and plus one is for the lead. This is a regression result. So the usual centered errors are in green and in round brackets, the robots that Iran's are in blue and in square brackets you can see that the main estimate on vacancy rate is highly significant. This one is not correct. So the centered errol the usual one for the estimate of the first lack of change in vacancy rate is 164 In all cases except for the estimate of the lead of C. V. Right. The robust standard Iran's are larger than the usual standard errors. This is usually the case it happens but rare that the robot standard errors are smaller than the usual standard errors. The r square of this regression is 0.77 So for the rate, because the robot standard error is larger than the usual standard error. So we will get a wider confidence interval if we use a robot standard error and for confidence interval you will run this function in our count in and you impose the name of the regression. It was spits all the 95% confidence intervals for all explanatory variables. The default version is the 95% interval. But because the standard barrel of this estimate is are very close, two versions are very close to each other so the confidence intervals should be roughly equal. Yeah. Last part. What you could say about real business of the claim that you rate and the rate are co integrated. Yeah. When I run the test and good grandeur, the results are not consistent across alternative types of process. In one case I can reject the notion that the residuals are united and for all the cases I cannot reject. So I conclude that the claim that you rate and be rate our co integrated is not robust.

Part one. We will take changes of both sides of the equation holding the other variables fixed the change in math four equals beta, one times the change in lock of riel spending per student which is beta one over 100 times 100 times change in lock of riel spending per student. Basically, we just divide and multiply 100 to the equation and that is roughly equal beta one over 100 times the percentage change in riel spending per student. So if the percentage change in real spending per student is 10, then the change in math four. Yeah, okay. Is beta one over 100 times 10. You just pluck 10 into Yeah, this side of the equation. And you wouldn't get beta one over 10. Mhm. This is the estimation result using Poland old l s in first differences. Except for the year dummies, we have five year Demis And besides the change in lock of riel spending per student, we have the change in lock enrollment and the change in lunch option. This is another dummy. We have 3300 observations and our square is 33000.208 The spending coefficient implies that a 10% increase in real spending mhm her student increases the math. Four pass rate by about 3.45 divided by 10. This is follows part one, and that equals 0.35% points. Part three. We add the lag spending change and drop another year. This is what we get. This is variable. We just add to the equation, and we drop ear 1994. The number of observations we used in this equation is 27 50 and the our square is 500.238 So how do the estimates on the rial spending per student change? Well, the contemporaneous spending variable. This one still have a negative coefficient, but it is not at all statistically significant. Meanwhile, the coefficient on the leg spending variable is highly significant and implies that a 10% increase in spending last year increases the math. Four pass rate by about 1.1 percentage points. Part four Hetero scad elasticity Robots standard. Errol for the coefficient of the lock change of real spending per student is 4.28 which reduces the significance of the change in lock of real spending per student even further. The hetero Scholastic City Robert Standard error of the estimate on lack real spending is about 4.38 That also lowers to t statistic and subsequently the significance of this variable. Still, this variable is highly significant at just over the 1% level. Part five asked you to calculate the fully robbers standard error, and that for the contemporary nous, spending is five point no. 4.4, 4.94 and that for the lack spending is five point on three. So for the court temporary spending again the significance level is further reduced. And for the past, spending the new standard their own gives a T statistic of 2.15 and that is associated with a P value of 0.0 32 So again, this variable is still significant at the 5% level. Part six. We wouldn't use four years of data for the test. We will do a pull old L s regression of our I t had on our I t minus one head using years 1995 1996 1997 1998 data The regression gives a row hat of minus 0.4 23 with a standard error of 0.19 So Roll Head is statistically significant and this is a strong evidence for serial correlation. Part seven. We will test the joint significance of the change in lock of enrollment and the change of lunch. We will use a nef test that is corrected for hetero scholastic, city and serial correlation. In other words, the F test must be fully robust. This test this statistic has two and 549 degrees of freedom, with the value of 0.93 and a P value of 0.4. So we are unable to reject the null hypothesis. The two variables are jointly insignificant, and so we could drop them from their regression.


Similar Solved Questions

5 answers
10.Find the center of mass of the solid region with constant density that is bounded by 0.5 0.Sr2 and 0 for 2ys2 Sketch this region: Label scale on each axis and identify all surfaces on your sketch.
10. Find the center of mass of the solid region with constant density that is bounded by 0.5 0.Sr2 and 0 for 2ys2 Sketch this region: Label scale on each axis and identify all surfaces on your sketch....
5 answers
~on'0*61 (2 Excess 8 Mel Heat67 1 8 8 1 ;DeaisoNOBA,CB!li 8940"Ilei"24; McMurry 8" CHEM 3264
~on '0*61 (2 Excess 8 Mel Heat 67 1 8 8 1 ;Deaiso NOBA,CB !li 8 940" Ile i " 24; McMurry 8" CHEM 3264...
5 answers
Write the following rectangular coordinates in polar .(-2,4)
Write the following rectangular coordinates in polar . (-2,4)...
5 answers
De MIH 3 Calendar ONI INE - Gradebook 1AN SP19 > Assessment hapter 2 HomeworkEvaluate 372 5y" when3and V =Questions 01(1n) 02[1/11 Q3 [1/1] 0.4[1/81 95011] 0601/] 0z1 Dn] Q10(t/1} olln d Searel BhIBAPoints poss atcttidt Baztnu Quastonto foLum SubritLR KT FyD37GTH
De MIH 3 Calendar ONI INE - Gradebook 1AN SP19 > Assessment hapter 2 Homework Evaluate 372 5y" when 3and V = Questions 01(1n) 02[1/11 Q3 [1/1] 0.4[1/81 95011] 0601/] 0z1 Dn] Q10(t/1} olln d Searel BhIBA Points poss atcttidt Baztnu Quastonto foLum Subrit LR KT Fy D 3 7G TH...
5 answers
The main substrate for metabolizable protein for herbivores isSelect one:a. Microbesb_ UreaC Dietary proteind. Endogenous Nitrogen *
The main substrate for metabolizable protein for herbivores is Select one: a. Microbes b_ Urea C Dietary protein d. Endogenous Nitrogen *...
5 answers
Concept Check 09 (CCO?)Due: Jul 8 at 11.59pmCalendar MATH-242-002 - 60391.202006 Details 1) What does knowing Cne1 Gn 4tell us about the sequence {an}?2) What does knowing lim @n 4tell us about the n-00 series Xnz-1 Gn3) What are the conditions for the Integral Test?4) If you were to do a limit comparison test on Xn-10 2n-+sn - Which series would you use for Sn-+9 comparison? Explain your reasoning:
Concept Check 09 (CCO?) Due: Jul 8 at 11.59pm Calendar MATH-242-002 - 60391.202006 Details 1) What does knowing Cne1 Gn 4tell us about the sequence {an}? 2) What does knowing lim @n 4tell us about the n-00 series Xnz-1 Gn 3) What are the conditions for the Integral Test? 4) If you were to do a limit...
5 answers
Calculate Vmax and Kwfor the uninhibited enzymeCalculate kcat for this erzyine. Give YOur arswer in s-1(2 marks)Calculate the catalytic efficiency of the enzymemarks)Add the data supplied in the table below for the inhibited enzyme onto the Linewcaver- Burk plot already supplied. This data indicates what type of inhibitor? Justify your answer.1/v (mMJmin for 001 HM of Enzyme)[S] (mM)[V] = 0 mM[V] = 5 mM01/ 0.290.130.24Type of inhibitor:Justification:
Calculate Vmax and Kwfor the uninhibited enzyme Calculate kcat for this erzyine. Give YOur arswer in s-1 (2 marks) Calculate the catalytic efficiency of the enzyme marks) Add the data supplied in the table below for the inhibited enzyme onto the Linewcaver- Burk plot already supplied. This data indi...
5 answers
QUESTION 4The Figure below shows an clectric dipole (+q = 10 uC,-q =-10 pC,d = [cm,r = 1 m). What is the magnitude of the electric field at point P ?a.0 Vlm b. 900 Vlm c 18 NIC d.12 Vlm 180 Vlm
QUESTION 4 The Figure below shows an clectric dipole (+q = 10 uC,-q =-10 pC,d = [cm,r = 1 m). What is the magnitude of the electric field at point P ? a.0 Vlm b. 900 Vlm c 18 NIC d.12 Vlm 180 Vlm...
4 answers
Let the velocity field is given byF=xyi- Cjtzk and is the surface of" the solid enclosed by paraboloid <=4-312 _ 3y2 and plane z = | oriented outward.Compute the flux of water flowing through the surface of the paraboloid across the velocity field without using Gauss' $ theorem. marks) Evaluate ff F nds by using Gauss' $ theorem:
Let the velocity field is given by F=xyi- Cjtzk and is the surface of" the solid enclosed by paraboloid <=4-312 _ 3y2 and plane z = | oriented outward. Compute the flux of water flowing through the surface of the paraboloid across the velocity field without using Gauss' $ theorem. mar...
5 answers
Page 31) NaOEtIEtOH2) H+H+l HzOshow both major organic pdtsQuestion 3: (2 pt each) Fill in the missing reagent(s) that will complete the following transformations_OEtQuestion 4: (2 pts each) Give the most likely starting material(s) for the following reactions Indicate stereochemistry where needed:HzO)
page 3 1) NaOEtIEtOH 2) H+ H+l HzO show both major organic pdts Question 3: (2 pt each) Fill in the missing reagent(s) that will complete the following transformations_ OEt Question 4: (2 pts each) Give the most likely starting material(s) for the following reactions Indicate stereochemistry where n...
1 answers
Two forces are applied to a $\mathrm{W} 8 \times 28$ rolled-steel beam as shown. Determine the principal stresses and maximum shearing stress at point $a$
Two forces are applied to a $\mathrm{W} 8 \times 28$ rolled-steel beam as shown. Determine the principal stresses and maximum shearing stress at point $a$...
5 answers
Determine the number of infected individuals in 50 days:(c)At the pandemic peak the number of infected individuals will reach to the maximum: So it s important to predict the peak time (in days): According to the model; the peak of the infection will arise in daysSubmitYou have usedattemptsSave
Determine the number of infected individuals in 50 days: (c)At the pandemic peak the number of infected individuals will reach to the maximum: So it s important to predict the peak time (in days): According to the model; the peak of the infection will arise in days Submit You have used attempts Save...
5 answers
Given that y is a function of x, differentiatethe expression (x^2+y^2)^6 with respect to x.Enter D for dy/dx in your answer.d/dx[(x^2+y^2)^6] = ....?
Given that y is a function of x, differentiate the expression (x^2+y^2)^6 with respect to x. Enter D for dy/dx in your answer. d/dx[(x^2+y^2)^6] = ....?...
5 answers
Answer the following questions? marks)HCIThe nucleophile in the given reaction is The electrophile in the given reaction is iii. Which product is formed by 1,4-addition? Which product is formed by 1,2-addition? Which product is more stable? Answer the following questions? marks)(D-ethyl but-2-enoateWhat is the name of this reaction? b) Draw the structure of the product with correct stereochemistry The dienophile is The diene is
Answer the following questions? marks) HCI The nucleophile in the given reaction is The electrophile in the given reaction is iii. Which product is formed by 1,4-addition? Which product is formed by 1,2-addition? Which product is more stable? Answer the following questions? marks) (D-ethyl but-2-eno...
5 answers
Score on last try: 0 of pts _ See Details for moreNext question You can retly this question belowSuppose that 25% of people Flam dogs_ If you pick two pcople at random what is the probability that they both own dog?Give your answer as decimal (to at lcast placestraction6225Submit Question
Score on last try: 0 of pts _ See Details for more Next question You can retly this question below Suppose that 25% of people Flam dogs_ If you pick two pcople at random what is the probability that they both own dog? Give your answer as decimal (to at lcast places traction 6225 Submit Question...
5 answers
Modern humans are the sole survivor of many different lineagesof the genus Homo. How might the presence of Neanderthals in oursociety make us reconsider what a human is?
Modern humans are the sole survivor of many different lineages of the genus Homo. How might the presence of Neanderthals in our society make us reconsider what a human is?...
5 answers
6 -( -3 2 3Fill-in the necessary row operations to produce each of the following matrices.1010
6 -( -3 2 3 Fill-in the necessary row operations to produce each of the following matrices. 10 10...

-- 0.033425--