When the mean value of the dependent variable is independent of variation in the independent variable, the slope of the regression line is
a. |
zero. |
|
b. |
positive. |
|
c. |
negative. |
|
d. |
infinite. |
Question just described a situation where y does not linearly depend on \(\mathrm{x}\), so slope must be zero.
a. zero.
When the mean value of the dependent variable is independent of variation in the independent variable,...
Homoscedasticity is found when variation of the dependent variable increases as the value of the independent variable increases. True or false
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
When the dependent variable is on the y-axis and there is only one independent variable and it is placed on the x-axis, the error term for a given observation is the vertical distance between the observation and the TRUE regression line. True False What is the name for a variable that represents values of only zero and one? a discrete variable a time-series variable a dummy variable a continuous variable
Question 15 1 pts In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is zero, then O the slope must be negative. o the slope can be positive, or zero, or negative. O there is no relationship between x and y. o the slope must be positive.
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above The letter corresponding...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above The letter corresponding...
Regression analysis is used to: A. Predict the value of the dependent variable vased on the value of at least one independent variable B. Explain changes in an independent variable on the dependent variable C. It offers proof of causation D. A & B only E. A, B, & C
The line of best fit through a set of data isy=−28.768+1.521xy=-28.768+1.521xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 90?y = Round to 1 decimal place.
If the coefficient of correlation is 0.65, the percentage of variation in the dependent variable explained by the estimated regression equation is a. 0.65% b. 80% c. 0.42% d. 42.2%
Use linear regression to predict the value at X=10. Independent Variable Dependent Variable о о л о Ол Select one: a. 23.64 b. 2164 C. 4.23 d. 0,45