A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=15 subjects. Use multiple linear regression to calculate the coefficient of...


A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=15 subjects.  Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model.  Use a significance level α=0.02.

























































































X1X2Y
55.169.472.2
31.454.336.2
57.950103.4
41.353.743.9
50.736.698.5
50.153.365.3
39.860.555.2
59.680.843.6
24.28.277
32.469.831
34.435.382.6
70.379.666.2
31.536.143.6
42.348.773.3
25.970.221.6





SSreg=
SSres=
R2=
F=

P-value =


What is your decision for the hypothesis test?




  • Reject the null hypothesis, H0:β1=β2=0

  • Fail to reject H0







What is your final conclusion?




  • The evidence supports the claim that one or more of the regression coefficients is non-zero

  • The evidence supports the claim that all of the regression coefficients are zero

  • There is insufficient evidence to support the claim that at least one of the regression coefficients is non-zero

  • There is insufficient evidence to support the claim that all of the regression coefficients are equal to zero




Jun 08, 2022
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