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Standard multiple linear regression on SPSS with assumption checks and write up (APA style)
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Learn how to complete a standard multiple linear regression on SPSS with assumption checks and how to report the results in APA style.
0:00 What is multiple linear regression analysis?
0:46 Setting up the file
2:01 Running the analysis
2:59 Checking assumptions
7:25 Interpreting the regression results
9:07 Reporting the assumptions
12:14 Reporting the regression
Regression equation:
The B values can be used to predict the value of the dependent (outcome) variable. In this example, the B values were 0.616 (distance from campus) and 0.375 (distance from nearest train station). As well as the B values, we need to know the constant value, which is 0.070 in this case (see Coefficients table). If someone lived 5 miles from campus and 5 miles from their nearest train station, the model would predict that this person would be late to lectures about five times: (5 x 0.616) + (5 x 0.375) + 0.070 = 5.025.
0:00 What is multiple linear regression analysis?
0:46 Setting up the file
2:01 Running the analysis
2:59 Checking assumptions
7:25 Interpreting the regression results
9:07 Reporting the assumptions
12:14 Reporting the regression
Regression equation:
The B values can be used to predict the value of the dependent (outcome) variable. In this example, the B values were 0.616 (distance from campus) and 0.375 (distance from nearest train station). As well as the B values, we need to know the constant value, which is 0.070 in this case (see Coefficients table). If someone lived 5 miles from campus and 5 miles from their nearest train station, the model would predict that this person would be late to lectures about five times: (5 x 0.616) + (5 x 0.375) + 0.070 = 5.025.
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