Q 6, 8, 10, 11 16

Incorrect Question 16 0/2 pts By using stepwise regression approach to build model. The following is the results when running Y-X1+X2+X3, Y-X1+X2+X3. Which of the following statement is incorrect? X1+X2+X3 X1+X2+X4 b3 0.130 0.052 -statistic -2.225 0.93 p-value 0.036 0.363 Select X3 as the third independent variable in the model since it has the smaller p-value. O Select X4 as the third independent variable in the model since it has the larger t-statistic value. O X4 is not significant in the model Y-X1+X2+X4 O Select X3 as the third independent variable in the model since it has the larger absolute value of t-statistic.Incorrect Question 6 0/2 pts A weight-loss clinic wants to use regression analysis to build a model for weight loss of a client (measured in pounds). Two variables thought to affect weight loss are client's length of time on the weight-loss program and time of session. These variables are described below: Y = Weight loss (in pounds) X1 = Length of time in weight-loss program (in months) X2 = 1 if morning session, 0 if not Data for 25 clients on a weight-loss program at the clinic were collected and used to fit the model with interaction term: Y = Bo + 81 X1 + 82X2 + B3X1X2 + Output from Microsoft Excel follows: Coefficients Standard Error t Stat P-value Lower 99% Upper 99% Intercept 20.729 22.3710 0.9266 0.3646 84.0702 42.6106 Length 7.2472 1.4992 4.8340 0.0001 3.0024 11.4919 Morn 90.1981 40.2336 2.2419 0.0359 23.7176 204.1138 Length x Morn 5.1024 3.3511 -1.5226 0.1428 -14.5905 4.3857 th session time. There i am (X1). There is sufficient evide is on program (X1) varies with session time. Incorrect Question 8 0/ 2 pts The following is the quadratic regression equation for a sample of n = 25: Y: = 5 +3X1 + 1.5X;; (1) predict Y for X1 = 2. (Keep integer) (2) Suppose that the computed t STAT test statistic for the quadratic regression coefficient is 1.95. At the 0.05 level of significance, is there evidence that the quadratic model is better than the linear model? |Y ( Put "Y" for "Yes" or "N" for "N" ) Answer 1: (You left this blank) Answer 2: Incorrect 0 / 1 pts Question 10 Which of the following is NOT an approach for handling nonlinear relationship between Y and X? Quadratic regression model Square-root transformation Variance inflationary factor Logarithmic transformation Incorrect 0/ 2 pts Question 11 A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), and education of the head of household (School). House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and constructed the multiple regression model. The business literature involving human capital shows that education influences an individual's annual income. Combined, these may influence family size. With this in mind, what should the real estate builder be particularly concerned with when analyzing the multiple regression model? Randomness of error t Missing observations O Collinearity O Normality of residuals