A) If you want to consider regression models with just one independent variable, which variable would you consider to include into the model based on S criterion? (10 points)
B) If you want to consider regression models with just two
independent variables, which variables would you include according
to R-Sq(adj) criterion? (10 points)
a)
the model with the lowest S-criterion is preferred,
here lowest S = 7.8239 for models with just one independent
variable that is Price ,
hence
We will include Price
b)
the model with the highest R-sq(adj) is preferred,
R-sq is highest = 83 with variable Price and Promotional exp
hence we will include Price and Promotional exp
A) If you want to consider regression models with just one independent variable, which variable would...
If you want to consider regression models with just two
independent variables which variables would you include according
to r-sq criterion
Response is Sales n d a u Mallows Vars R-Sq R-Sq(adj) Cps e p y 1 81.3 79.86.1 78239 X 1 58.0 54.5 26.2 11.734 X 1 9.5 2.0 68.1. 17.221 X 2 85.7 830 2 82 9 79.8 6.8 7.8193 X X 2 692 63.618.6 10.499 X X 3 88.4 84.9 4.4 71630 X X 4.0 6.7523 X...
If you want to consider regression models with just one
independent variable which variable would you consider to include
into the model based on s criterion
Response is Sales 0 0 PI a Mallows Vars R-Sq R-Sq(adj)Cp S e p y 1 81.3 79.8 1 58.0 54.5 26.2 11.734 1 9.5 2.0 2 85.7 83.0 2 82.9 79.8 2 69.2 63.618.6 10.499 x X 3 88.484.9 6.1 7.8239 X 68.1. 17.221 X 4.4 7.1630 X X 6.8 7.8193 X X...
In all of the regression models fit by the author, which
independent variable appears to be the best predictor of functional
status and/or self-perception of recovery? Justify your
answer.
Recovery After Surgery TABLE 3. Regressions of Pain, Fatigue, and Depression on Functional Status and Self-Perception of Recovery 169 137 131 126 3 Months Initial B 3-5 Days B 1 Month B Dependent Independent Variable Variables Functional Status Pain Depression Fatigue .001 .05 .06 .84*** .85** .44** 09 .04 6.94*** .134...
Consider the STATA output below, in which the outcome variable is wage (rate of pay in dollars per hour) and the independent variables are total years of experience (ttl_exp)total years in current position (tenure), and number of years of school completed (grade) regrens wage ttt_exp tenure prade Source 55 df MS Number of obs- 3. 2225) - 120.02 Madet 10363.7014 13654.56714 63124.263 22 20.3784588 Adj R-squared - . 1468 74887.68 2220 39.2531214 Rot MSE 3.148 Wage Std. Err. Coet. .232752...
5. Summary of regression between a dependent variable y and two independent variables X, and x2 is as follows. Please complete the table: SUMMARY OUTPUT Regression Statistics Multiple R 0.9620 R Square R2E? Adjusted R Square 0.9043 Standard Error 12.7096 Observations 10 ANOVA F Significance F F=? Overall p-value=? Regression Residual Total 2 df of SSE MS MSR=? MSE? 14052.1550 1130.7450 SSTE? MSE? 9 Coefficients -18.3683 Standard Error 17.9715 t Stat -1.0221 Intercept ty=? 2.0102 4.7378 0.2471 0.9484 P-value 0.3408...