Question
Determine %ether the scatter diagram indicates that a linear relabon may exst batveen the two varables If ine relation inear cetermine "hether # indicales posiive Dr negalive association between ine variables Use this informabon answer the followingLEnbtrDo the two vanables have Inear [& ananship .The dala points have elabttshin becavee Ue1 Inaini straight line The 07i points haue labenship decanee mainly Astraignt line Mre Bijonsnip near Co [ne vaniacige cositnve neqabve associaton?Tne
Determine %ether the scatter diagram indicates that a linear relabon may exst batveen the two varables If ine relation inear cetermine "hether # indicales posiive Dr negalive association between ine variables Use this informabon answer the following L Enbtr Do the two vanables have Inear [& ananship . The dala points have elabttshin becavee Ue1 Inaini straight line The 07i points haue labenship decanee mainly Astraignt line Mre Bijonsnip near Co [ne vaniacige cositnve neqabve associaton? Tne Dala points do nolhave celalceshin becaise Jnay Tne Gata points near ationship because 0e Maini straight line mainly straight line The vanadles Nave nedabve associlion vanadles nave posijive association. The relalionship not lineat;
Answers
Determine whether the scatter diagram indicates that a linear relation may exist between the two variables. If the relation is linear, determine whether it indicates a positive or negative association between the variables.
Within these following graphs. What we'd like to know is if there's any sort of linear relationship that might exist between the explanatory and response variables and this is just based on what it looks like graphically. So, looking at these scatter diagrams, is there a linear relationship? And if there is, is it positive or negative? So let's start with nine right here. And what I think is easiest to do when it comes to this is to actually try to draw whatever line or curve would best fit the data points. So if we do that for nine right here, it looks like it would look something like this, which, to me looks more exponential. It's clearly not linear. So for this one, we can't say that there is any linear relationship. Now, for 10, let's do the same thing and try to draw a line through it. It looks like we could draw one fairly well, that's pretty straight. So I would say that there is definitely a linear relationship between the explanatory in response variable here and the direction that it goes. It is downward sloping, which is telling us that there's a negative relationship between these variables. What you can see is that as one is increasing. So as our explanatory variables increasing here, we're seeing this response variable decrease. 11. Let's do the same thing. It looks like we can draw a fairly straight line through the majority of these points here and in this one it is upward sloping. So we can see that we have a linear relationship that is also positive and we can see that it's positive. Not only because of that upward slope, because as our explanatory variables increasing, we're also seeing that increase in our response variable Now. 12. Right here, this one, it doesn't look linear. Just at first glance, it actually looks like we could draw a bit of a curve through like this. So maybe this is more of a quadratic relationship, but whatever it is, we know that it's definitely not linear.
Within these following graphs. What we'd like to know is if there's any sort of linear relationship that might exist between the explanatory and response variables and this is just based on what it looks like graphically. So, looking at these scatter diagrams, is there a linear relationship? And if there is, is it positive or negative? So let's start with nine right here. And what I think is easiest to do when it comes to this is to actually try to draw whatever line or curve would best fit the data points. So if we do that for nine right here, it looks like it would look something like this, which, to me looks more exponential. It's clearly not linear. So for this one, we can't say that there is any linear relationship. Now, for 10, let's do the same thing and try to draw a line through it. It looks like we could draw one fairly well, that's pretty straight. So I would say that there is definitely a linear relationship between the explanatory in response variable here and the direction that it goes. It is downward sloping, which is telling us that there's a negative relationship between these variables. What you can see is that as one is increasing. So as our explanatory variables increasing here, we're seeing this response variable decrease. 11. Let's do the same thing. It looks like we can draw a fairly straight line through the majority of these points here and in this one it is upward sloping. So we can see that we have a linear relationship that is also positive and we can see that it's positive. Not only because of that upward slope, because as our explanatory variables increasing, we're also seeing that increase in our response variable Now. 12. Right here, this one, it doesn't look linear. Just at first glance, it actually looks like we could draw a bit of a curve through like this. So maybe this is more of a quadratic relationship, but whatever it is, we know that it's definitely not linear.
Within these following graphs. What we'd like to know is if there's any sort of linear relationship that might exist between the explanatory and response variables and this is just based on what it looks like graphically. So, looking at these scatter diagrams, is there a linear relationship? And if there is, is it positive or negative? So let's start with nine right here. And what I think is easiest to do when it comes to this is to actually try to draw whatever line or curve would best fit the data points. So if we do that for nine right here, it looks like it would look something like this, which, to me looks more exponential. It's clearly not linear. So for this one, we can't say that there is any linear relationship. Now, for 10, let's do the same thing and try to draw a line through it. It looks like we could draw one fairly well, that's pretty straight. So I would say that there is definitely a linear relationship between the explanatory in response variable here and the direction that it goes. It is downward sloping, which is telling us that there's a negative relationship between these variables. What you can see is that as one is increasing. So as our explanatory variables increasing here, we're seeing this response variable decrease. 11. Let's do the same thing. It looks like we can draw a fairly straight line through the majority of these points here and in this one it is upward sloping. So we can see that we have a linear relationship that is also positive and we can see that it's positive. Not only because of that upward slope, because as our explanatory variables increasing, we're also seeing that increase in our response variable Now. 12. Right here, this one, it doesn't look linear. Just at first glance, it actually looks like we could draw a bit of a curve through like this. So maybe this is more of a quadratic relationship, but whatever it is, we know that it's definitely not linear.
Hello, Everyone looking at the scatter diagram with to determine whether the type of relationship is linear or normal here. So linear relationships tend to have a constant actually, not not just tend, they are constant. So, for example, a linear graph of the something like this or like this, but the point being that the rate of change is constant. Um, so if you look at our scatter diagram, it has to have a linear trend. In other words, the points after the following a very constant trend. So when we look at it, it is seemingly, um, I'm going to scatter plot so it isn't perfect, but it seems to be falling a constant trend. So, uh, the correct answer is linear. Thank you for watching, and I hope this help.