Paste your X and Y data to get the regression equation, slope, intercept, correlation and R squared, then read what each number means. For a full analysis with assumption checks, hand it to a statistician.
Separate values with commas, spaces or new lines. X and Y must have the same count.
This tool gives the correct numbers for simple regression, but a graded assignment usually needs more: checking linearity, independence, equal variance and normal residuals, handling outliers, and writing the result the way your course expects. Multiple regression with several predictors also needs the coefficient table, standardised betas and multicollinearity checks. Our regression in SPSS guide walks through all of it, and a statistician can run and interpret your data end to end.
Send your data and a statistician runs the regression, checks the assumptions, and writes the results before your deadline.
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