289 mL = 28.9 cL

Making food the world loves Jeff Harmening, the CEO of General Mills, strives to achieve their slogan of “making food the world loves.” He first collected data on his dependent variable of consumer ratings from 0 (low) to 100 (high) for all cereal brands. He then created an indicator variable generalmills to compare cereals produced by General Mills to cereals produced by competitors. He also collected data on the nutrition of each, including the amount of calories, fiber, and sugars. Below is the correlation matrix of the variables:

How many of the regression coefficients in Camille’s model are statistically significant at the .10 level?

Is the calories coefficient statistically different from zero, using alpha=.10?

Peter returned a p-value of 0.025 from the appropriate test for heteroscedasticity. What should he conclude at the 0.05 level?

Calculate a 95% prediction interval for the wine quality in a new batch of Camille’s red wine with a fixed acidity of 10, a residual sugar of 2.5, a density of .995, and an alcohol content of 11.

8 kL = 8000 L  

Which of the following most likely explains why the intercept coefficient is a negative number?

Jeff then ran the following regression of ratings on the indicator of generalmills and the nutritional variables of calories, fiber, and sugars:

Calculate a point estimate of the price if max resolution=1920 pixels (1.92 thousand pixels) and min resolution=480 pixels (0.48 thousand pixels).