In a study of the relationship between creatinine excretion (dependent variable), height, and weight, the data shown in the file “multipleregression.sav” were collected on 20 infant males. Run multiple regression analysis.

14.1 Copy and paste the three output tables: model summary, ANOVA, and coefficients.

14.2 What is the multiple correlation coefficient?

14.3 What is the coefficient of determination? What does it denote?

14.4 Is the overall regression model statistically significant? Provide an evidence to support your answer.

14.5 What are the beta coefficients of the two independent variables?

14.6 Interpret the meaning of the two beta coefficients. In other words, what kind of influences the two independent variables have on weight?

14.7 Write the equation for the regression line.

14.8 Let weight (X1) = 10 and height (X2) = 60 and find the predicted value of Y.

Data view

Infant creatinine

Excretion weight height 100 72 115 10 76 52 59 4 85 68 135 10 60 58 5 58 90 70 60 7. 65 45 4 54 10 125 11 83 11 86 64 12 80 66 13 65 61 14 95 66 15 25 5 57 125 16 11 81 17 40 59 18 95 71 19 70 62 20 120 10 75 in