Calculating the equation of a regression line
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Calculating the equation of a regression line
We determine the correlation coefficient for bivariate data, which helps understand the relationship between variables. We then build the equation for the least squares line, using standard deviations and the correlation coefficient. The regression line equation y hat = mx + b is calculated.
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Given the following regression output, answer the following questions. a. Write the regression equation. b. If x1 is 4 and x2 is 11 , what is the expected or predicted value of the dependent variable? c. How large is the sample? How many independent variables are there? d. Conduct a global test of hypothesis to see if any of the set of regression coefficients could be different from 0 . Use the .05 significance level. What is your conclusion? e. Conduct a test of hypothesis for each independent
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the following regression output was obtained from a study of architectural firms the dependent variable is the total amount of fees in millions of dollars predictor coefficient se coefficien 75606
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