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