Simple Regression

Data and Model Summary


Number of cases used in the analysis	82
Number of incomplete (omitted) cases	0
Pearson Correlation Coefficient (r)	0.96655
Coefficient of Determination (R-Squared)	0.93421
Equation of Least Squares Line	SP = 84.454 + 0.2387 * HP

Response Versus Numerical Predictor

Least Squares Line: SP = 84.454 + 0.2387 * HP

This graph shows scatter plot of Response Versus Numerical Predictor The plot also shows the
LOESS curve corresponding to the data points.

Residual Versus Fit

Least Squares Line: SP = 84.454 + 0.2387 * HP

This graph shows Residual Versus Fit

Normal Probability Plot: Residuals

Least Squares Line: SP = 84.454 + 0.2387 * HP

This graph shows Normal Probability Plot: Residuals