1. What is the correlation coefficient (Pearson's r) between the variable's calories and carb?

2. Interpret the strength of the relationship between the calories and the amount of carbohydrates (in grams) contained in the food menu at Starbucks.

3. Using JASP descriptive statistics, find the mean and standard deviation for the variable calories and carb

4. In a food label at Starbucks, the number of calories is indicated but the amount of carbohydrates (in grams) is missing. Write the equation of the regression line for prediction of the amount of carbohydrates (the response or dependent variables) given the number of calories (explanatory variable or covariate)

• First calculate the slope().
• Calculate the intercept ().
• Write the regression equation.

5. Using JASP linear regression, validate the regression equation found in c.

6. Calculate R2of the regression line for predicting the amount of carbohydrates from the number of calories and interpret it in the context of the application.