A) Model A
D) Adjusted R2
The best model is selected with adjusted R2 and the number of variables involved in the model.
There is not much difference in the value of the adjusted R square between model A and model B. But model a has only three independent variables however model B has 6 independent variables associated with it. And a lot of time, effort, and cost is saved in model A as compared to model B. Hence model A is considered to be a better model in comparison to model B.
Which model seems a better model.A or B? And at which metric do you look to...
can you answer question 9 please Problems 473 results from parts (a), (b), and (c). What model seems most plausible? How do the data limit your conclusions? tle the data from Freund (1979), presented in Problem 22 in Chapter 14. Taking be model discussed there as the maximum model, repeat parts (a) through (h) of Problem 6. In part (h), note the possible role of collinearity. A random sample of data was collected on residential sales in a large city....
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...