Which of the following are possible consequences of tests of the residuals failing?

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

7.5 L = 75000 mL  

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

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

A fine red wine Camille manages a winery that is known for its fine red wine of the “Vinho Verde” variant. Wine-tasting experts, or sommeliers, come every year to rate the wine quality of each of her wines using a numerical score that ranges from 1 (low quality) to 7 (high quality). To improve her understanding of the sommeliers’ wine rating system, Camille collected data by hiring scientists to take physicochemical tests on each of her wines. Using the scientific data, she runs a regression of wine quality on the amount of fixed acidity, residual sugar, density, and alcohol content. Below is her R regression output.

8 kL = 8000 L  

Based on the correlation matrix, is multicollinearity likely an issue?

289 mL = 28.9 cL

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