Question

1. When r = 0.00, the value of SY' is equal to _____, but when r...

1. When r = 0.00, the value of SY' is equal to _____, but when r = 1.00, the value of SY' is equal to _____

2. The primary use of linear regression is to make a statistically sound prediction about the value of some variable (e.g., Y) given the value of some other variable (e.g., X). True or False?

3. One assumption of linear regression is that the distribution of Y scores associated with a particular X score is approximately normal. True or False?

4. Homoscedastic refers to a scatter plot in which the Y scores are spread out to the same degree at every X, whereas heteroscedastic refers to a scatter plot in which the Y scores have a different degree of spread at different Xs. True or False?

5. A regression line indicates the predicted Y score for each X score. True or False?

Math   Statistics-And-Probability   
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Answer #1

2. True because we use regression equations to make predictions. Regression equations are a crucial part of the statistical output after you fit a model. The coefficients in the equation define the relationship between each independent variable and the dependent variable. However, you can also enter values for the independent variables into the equation to predict the mean value of the dependent variable.

3. False the distribution of Y scores is not associated with a particular X score.there is some error which is determinate by other variables

4. True

5. True

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