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Question
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coefficient of determination


slope of the regression line


correlation coefficient


standard error

Detailed explanation1: Question: In simple regression analysis, the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called the correlation coefficient.
Detailed explanation2: Y = a + bX a is the intercept. b is the gradient or slope. The slope which is given by b shows the amount by which the value of the variable Y changes due to a unit change in the variable X.
Detailed explanation3: The coefficient of determination r2, is equal to the square of the correlation coefficient. When expressed as a percent, r2 represents the percent of variation in the dependent variable y that can be explained by variation in the independent variable x using the regression line.
Detailed explanation4: True A simple linear regression model is an equation that describes the straightline relationship between a dependent variable and an independent variable. True The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.
Detailed explanation5: A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0).