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One company in the sample had sales of $20 billion (Sales = 20,000). This company spent $280 million on capital and $750 million on wages. What is the residual (in millions of dollars) for this data point?

What are the predicted sales (in millions of dollars) for a company spending $450 million on capital and $250 million on wages?

(1 point) The variation attributable to factors other than the relationship between the independent variables and the explained variable in a regression analysis is represented by:

How much of the variability in TOPSPEED is explained by HORSEPOWER and WEIGHT together?

(1 point) In a multiple regression analysis involving 15 data points, the mean squares for error is 7, and the sum of squares for error is 70. The number of the predictor variables must be

(1 point) Suppose all we know about a car in the sample is that it weighs 4500 pounds.  What would we predict its top speed to be?

(2 points) Short question: Name two graphical tools for checking regression model fit. 

(2 points) List two remedial measures for multicollinearity issues.

15. (3 points) Write the null and alternative hypotheses for testing the significance of the regressor “Wages”. Explain how to calculate the t statistics and p-value. What’s your final conclusion at significance level 0.05? ————————————————————————————————–   Please show all your work and submit in PDF files.  

Honor Code (Sign this pledge by typing your name in the text field): I affirm that I will not plagiarize, use unauthorized materials, or give or receive illegitimate help on this examination. I will also uphold equity and honesty in the evaluation of my work and the work of others.