Answer both questions please true or false 16. The slope of the simple linear regression equation...
Answer both questions please
true or false
16. The slope of the simple linear regression equation represents the average change in the value of the dependent variable per unit change in the independent variable (X).
True/False
19. When using simple regression analysis, if there is a strong correlation between the independent and dependent variable, then we can conclude that an increase in the value of the independent variable causes an increase in the value of the dependent variable.
Homework Answers
The slope of the simple linear regression equation represents the average change in the value of the dependent variable per unit change in the independent variable. The statement is TRUE. The intersection of the two regression lines will calculate the mean value of X and Y variable.
When there is strong correlation between two variables, an increase in the value of independent variable may not mean that the value of dependent variable will increase. The correlation between the two variable may be in opposite direction and an increase in one variable may also lead to decrease in the other variable. This depends on the value of correlation being positive or negative. Thus the statement is False not in entirety but if considered as absolute and spoecific.
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Answer both questions please true or false 16. The slope of the simple linear regression equation...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A....
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
In a simple linear regression model, the slope term is the change in the mean value...
In a simple linear regression model, the slope term is the change in the mean value of y associated with _____________ in x. a corresponding increase a variable change no change a one-unit increase
Q9. In a simple linear regression model, the slope term is the change in the mean...
Q9. In a simple linear regression model, the slope term is the change in the mean value of y associated with _____________ in x. A) a corresponding increase B) a variable change C) no change D) a one-unit increase
In simple regression analysis the quantity that gives the amount by which...
17. 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 theA. Coefficient of determinationB. Slope of the regression lineC. Y intercept of the regression lineD. Correlation coefficientE. Standard error18. A simple regression analysis with 20 observations would yield ________ degrees of freedom error and _________ degrees of freedom total.A. 1, 20B. 18,19C. 19, 20D. 1, 19E. 18, 2019. The correlation coefficient may assume...
11 HELP ASAP In the simple linear regression model, the slope represents the average change in...
11
HELP ASAP
In the simple linear regression model, the slope represents the average change in x per unit change in y value of y when x value of x when y 0. average change in y per unit change in x. 0. O
QUESTION 1 The Simple Linear Regression is fit or constructed to predict a dependent variable. True...
QUESTION 1 The Simple Linear Regression is fit or constructed to predict a dependent variable. True False QUESTION 2 The Coefficient of Determination is used to explain in what percent (%) the independent variable is affecting the dependent variable. True False
QUESTION 13 For a simple linear regression model, the estimated intercept is 5, and the estimated...
QUESTION 13 For a simple linear regression model, the estimated intercept is 5, and the estimated slope is -3, it implies that as the independent variable increases by 1 unit, the dependent variable would increase by 5 units. as the independent variable increases by 1 unit, the dependent variable would decrease by 3 units. as the dependent variable increases by 1 unit, the independent variable would increase by 5 units. as the dependent variable increases by 1 unit, the independent...
1. In simple linear regression analysis, we assume that the variance of the independent variable (X)...
1. In simple linear regression analysis, we assume that the variance of the independent variable (X) is equal to the variance of the dependent variable (Y) True False 2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation. True False 3. If n=20 and p=.4, then the mean of the binomial distribution is 8 True False 4. If a population is known to be normally distributed, then it follows that...
e Pas 2. If SSE is near zero in a regression, conclusion will be that the...
e Pas 2. If SSE is near zero in a regression, conclusion will be that the proposed model probably has a. too poor a fit to be useful b. near perfect fit c. a very strong positive linear relation d. a very strong negative linear relation 3. A residual/error shows the difference between Yactual and Yestimated on a standard scale. True False 4. In a simple regression, the F statistic is calculated by taking the ratio of MSR to the...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
11
HELP ASAP
In the simple linear regression model, the slope represents the average change in x per unit change in y value of y when x value of x when y 0. average change in y per unit change in x. 0. O
e Pas 2. If SSE is near zero in a regression, conclusion will be that the proposed model probably has a. too poor a fit to be useful b. near perfect fit c. a very strong positive linear relation d. a very strong negative linear relation 3. A residual/error shows the difference between Yactual and Yestimated on a standard scale. True False 4. In a simple regression, the F statistic is calculated by taking the ratio of MSR to the...
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