Building on Correlation

For this assignment, you will use the dataset from last week's assignment (also provided here) to conduct a simple linear regression with SPSS. Then, you will use the regression equation you construct from the regression output to make predictions about negative affect levels.

Then, use this equation to predict Negative Affect Score for three different snowfall amounts not listed. Provide a 1-2 paragraph summary in which you address the following:

• Present the regression equation.
• Identify the three snowfall amounts you selected to predict Negative Affect Score for.
• Identify the Negative Affect Score predicted for each.
• Explain whether or not you agree with these predictions, and reflect on how appropriate regression is for these variables.

Regression equation: y=bx+a

y= value of variable being predicted

b= slope of line

x= value of variable already known

a= y intercept

40 30 Total Daily Snowfall 20 O . . . 10 . 0 10 20 30 40 50 Negative Affect ScoreVariables Entered /Removeda Variables Variables Model Entered Removed Method 1 Total Daily Enter Snowfall a. Dependent Variable: Negative Affect Score b. All requested variables entered. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 644 a 415 .380 12.957 a. Predictors: (Constant), Total Daily Snowfall ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 2020.570 1 2020.570 12.036 003b Residual 2853.956 17 167.880 Total 4874.526 18 a. Dependent Variable: Negative Affect Score b. Predictors: (Constant), Total Daily Snowfall Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 2.426 5.834 .416 683 Total Daily Snowfall 1.226 .353 .644 3.469 003 a. Dependent Variable: Negative Affect Score