1- Select thecorrect answer:True or False.

a) The adjusted R square value will decrease when more predictors are added.

True/false

b) Determining the statistical significance of a linear regression model is an objective of classical statistics, but not of predictive modeling.

True/false

c - Including more variables in a model may necessitate having more records in the data set. A good rule of thumb is to include at least 10 records for each variable.

True/false

d) - The correlation measures the strength and direction of a linear association between two quantitative variables.

True/false

e - It would be appropriate to use a logistic regression model to classify a products price range as low, moderate, or high.

True/false

f - The logit, log (p/1-p) is a linear function of the probability of success.

True/false

g - Aggregating shipment totals for each year in a time-series plot using the sum() function in tableau would add detail to the visual display making it easier to see the quarterly variation.

True/false

h - The five-numbers summary for the distribution of baseball team revenue is 175, 220, 238, 508. If there are 28 baseball teams represented, about 7 teams have a revenue greater than 288.

True/false

i) The logistic regression model equates the log(p/1-p)to a linear function of predictor variables.

True/false