# Question: An estimated regression for a random sample of observations on

An 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 estimated standard error is se = 1.07. Suppose that 100 units per hour are produced and the actual (observed) defect rate is Defects = 4.4.

(a) Calculate the predicted Defects.

(b) Calculate the residual.

(c) Standardize the residual using se.

(d) Is this observation an outlier?

(a) Calculate the predicted Defects.

(b) Calculate the residual.

(c) Standardize the residual using se.

(d) Is this observation an outlier?

## Answer to relevant Questions

An estimated regression for a random sample of vehicles is MPG = 49.22 – 0.081 Horse- power, where MPG is miles per gallon and Horsepower is the engine's horsepower. The standard error is se = 2.03. Suppose an engine has ...Make a scatter plot of Y against X. Discuss what it tells you. Inspect the residual plot to check for heteroscedasticity and report your conclusions. In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks. (a) Write the fitted regression equation. (b) State the degrees of freedom for a two-tailed test for zero ...Consider the following data on 20 chemical reactions, with Y = chromatographic retention time (seconds) and X = molecular weight (gm/mole). (a) Make a scatter plot. (b) Use Excel to t the regression, with fitted equation and ...Post your question