Review the two residual plots below. Do either of these show evidence that the regression error assumptions of normality and constant variation have been violated? Explain.
Answer to relevant QuestionsAn estimated regression for a random sample of observations on an assembly line is Defects = 3.2 + 0.045 Speed, where Defects is the number of defects per million parts and Speed is the number of units produced per hour. The ...State your a priori hypothesis about the sign of the slope. Is it reasonable to suppose a cause- and-effect relationship? (a) Make a histogram (or normal probability plot) of the residuals and discuss its appearance. (b) Do you see evidence that your regression may violate the assumption of normal errors? In the following regression, X = monthly maintenance spending (dollars), Y = monthly machine downtime (hours), and n = 15 copy machines. (a) Write the fitted regression equation. (b) State the degrees of freedom for a ...(a) Interpret the slope of the fitted regression HomePrice = 125,000 + 150 SquareFeet. (b) What is the prediction for HomePrice if SquareFeet = 2,000? (c) Would the intercept be meaningful if this regression applies to home ...
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