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# A researcher would like to predict the dependentvariable YY from the two independentvariables X1X1 and X2X2for a sampleof N=13 subjects. Use multiple linear regres...

## Question

###### A researcher would like to predict the dependentvariable YY from the two independentvariables X1X1 and X2X2for a sampleof N=13 subjects. Use multiple linear regression tocalculate the coefficient of multiple determination and teststatistics to assess the significance of the regression model andpartial slopes. Use a significance level Î±=0.02.X1X1X2X2YY40.666.75927.272.442.36556.269.117.371.225.43065.640.941.259.144.868.544.340.679.537.354.755.65866.359.446.127.262.942.430.967.244.539.522.664.3

A researcher would like to predict the dependent variable YY from the two independent variables X1X1 and X2X2for a sample of N=13 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test statistics to assess the significance of the regression model and partial slopes. Use a significance level Î±=0.02. X1X1 X2X2 YY 40.6 66.7 59 27.2 72.4 42.3 65 56.2 69.1 17.3 71.2 25.4 30 65.6 40.9 41.2 59.1 44.8 68.5 44.3 40.6 79.5 37.3 54.7 55.6 58 66.3 59.4 46.1 27.2 62.9 42.4 30.9 67.2 44.5 39.5 22.6 64.3 18.4 R2= F= P-value for overall model = t1= for b1, P-value = t2= for b2, P-value = What is your conclusion for the overall regression model (also called the omnibus test)? The overall regression model is statistically significant at Î±=0.02. The overall regression model is not statistically significant at Î±=0.02. Which of the regression coefficients are statistically different from zero? neither regression coefficient is statistically significant the slope for the first variable b1 is the only statistically significant coefficient the slope for the second variable b2 is the only statistically significant coefficient both regression coefficients are statistically significant #### Similar Solved Questions

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