Answer each question 1-4 separately. (Question 1.) When running a linear regres

Answer each question 1-4 separately.
(Question 1.) When running a linear regression model the dependent variable must be continuous but the independent variables can be either continuous or categorical.
Group of answer choices
True
False
(Question 2.) Use the data set below to answer the remaining questions. As before, you will need to download the excel sheet and load it into SPSS
https://drive.google.com/file/d/10U5SXSAi_0quYpKU6yFywLY_YsiFoPOc/view?usp=sharingLinks to an external site.
For this question run a bivariate regression between levels of depression CESD (dependent variable) and emotional balance (EB in the dataset). Looking at the output EB is significant at the .05 level and for every one unit increase in EB, CESD decreases by approximately .66 units.
Group of answer choices
True
False
(Question 3.) For this question run a bivariate regression between levels of depression CESD (dependent variable) and cognitive status (CS in the dataset). Looking at the output CS is not significant at the .05 level and for every one unit increase in CS, CESD decreases by approximately .77 units.
Group of answer choices
True
False
(Question 4.) For this question run a multivariate regression between levels of depression CESD (dependent variable) and cognitive status (CS), emotional balance (EB), physical health (PH), and age. Select ALL of the answers below that are true about the regression output.
Group of answer choices
EB is significant at the .05 level
CS is significant at the .05 level
PH is significant at the .05 level
Age is significant at the .10 level
On average, holding all other variables constant, a one unit increase in EB leads to a .496 increase in CESD.
On average, holding all other variables constant, a one unit increase in CS leads to a .473 decrease in CESD.