Q1 True or False Questions (12 points) For each question in this section, please answer either True or False. While justification is not required, it is encouraged and may allow in some cases for partial credit to be awarded. (2 points] The p-value equals the probability that the null hypothesis is true. Answer: 2 points] P-values indicate how incompatible the data are with a specified statistical model. The lower the p-value, the less compatible the data are with the null hypothesis. Answer: [2 points] In the R output of a simple linear regression, the multiple R2 equals 2, the squared correlation coefficient between the response and the explanatory variable. Answer: [2 points] In order to use a categorical (factor) variable with 5 levels as predictor in multiple linear regression, we need to include 4 indicator (dummy) variables in the regression model. Answer: [2 points] A correlation of 0.2 between two variables indicates stronger linear association than a correlation of -0.6