STATISTICAL TECHNIQUES AND TOOLS
REGRESSION
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
In a statistics course, a linear regression equation was computed to predict the final exam score based on the score on the first test of the term. The equation was y=25+0.7x where y is the final exam score and x is the score on the first test. George scored 80 on the first test. On the final exam George scored 85. What is the value of his residual?
|
|
-4
|
|
|
4
|
|
|
4.5
|
|
|
5
|
|
|
81
|
Explanation:
Detailed explanation-1: -The line of regression of Y on X is given by Y = a + bX where a and b are unknown constants known as intercept and slope of the equation.
Detailed explanation-2: -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).
There is 1 question to complete.