A linear regression equation has b = 3 and a = – 6. What is the...
A linear regression equation has b = 3 and a = – 6. What is the predicted value of Y for X = 4?
a. Ŷ = 6
b. Ŷ = –21
c. Cannot be determined without additional information
d. Ŷ = –2
Homework Answers
A linear regression equation has a slope b = 3 and a constant a = 4...
A linear regression equation has a slope b = 3 and a constant a = 4 . What is the predicted value of Y for X = 10? inear regression equation has a slope b = 3 and a constant a = 4 . What is the predicted value of Y for X = 10? A. 12.0 B. 20 C. 28 D. 34 E. 36 F. None of the above.
For the regression equation, Ŷ = –2X + 6, if the X value is above the...
For the regression equation, Ŷ = –2X + 6, if the X value is above the mean (positive deviation), what can be determined about the predicted Y value?
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If you were to develop a linear regression equation that uses autonomy at work to predict...
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b. What is the equation of the regression line for the set of points? The best...
b. What is the equation of the regression
line for the set of points?
The best predicted weight for a bear with a
chest size of 48 inches is .......nothing pounds.
The best predicted temperature when a bug
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Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 10 15 y...
19. (2pts) Which of the following is NOT an assumption in simple linear regression? o The...
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Show work please, Thanks! Question 3: The regression line equation for a set of data is...
Show work please, Thanks!
Question 3: The regression line equation for a set of data is given by y-hat = 2.3x+5 with n = 10. The mean value of y is 10.1 for the data set. Use a = 0.05. A. If the linear correlation coefficient is r=0.521, what is the best predicted y-value for x = 5? Justify for your answer. B. If the linear correlation coefficient is r = 0.972, what is the best predicted y-value for x...
Refering to my previous question... "Say the simple linear regression model produces the equation ŷ =...
Refering to my previous question... "Say the simple linear regression model produces the equation ŷ = 17.23 + 4.5x. What is the interpretation of the slope? What is the interpretation of the intercept? If a new observation had a weight of 22.3 pounds, what is the predicted height?" Would it be valid to use the linear regression from this dataset to predict the height from an observation that weights 65 pounds? Why or why not?
Name: Instructor Date: Section 6. The regression line equation for a set of data is given...
Name: Instructor Date: Section 6. The regression line equation for a set of data is given by y-23x+. -10. The value of for this same data set is 10.1. Use α .05 a. If the lincar correlation coefficient for this data is -521, what is the best y -value for x 57 b. If the linear correlation coefficient for this data is r 972, what is the best predicted y-value for x=5? size n 15 with a 01 7. What...
In the regression equation, what does a denote? a. Score on the variable x b. Value...
In the regression equation, what does a denote? a. Score on the variable x b. Value of the slope of the line c. Variable to be predicted d. Intercept with the y-axis In a regression equation, if the y intercept = 0, then where does the line of best fit intercept the y axis? a. The line of best fit intercepts the origin. b. The line of best fit intercepts the Y-axis above the Y-axis. c. The line of best...
If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the Y-Intercept (a) of the regression equation? Use the slope (b) obtained from the previous question to answer this question. Autonomy Job satisfaction (Y) n 8 8 Mean My=4 My 7 Variability SSX-28 SSY - 156 SP-56 Pearson r.85 -10 1 2 pts Question 43 Correlation' is to 'regression' as significance to non significant 'samples are to populations relationship...
b. What is the equation of the regression
line for the set of points?
The best predicted weight for a bear with a
chest size of 48 inches is .......nothing pounds.
The best predicted temperature when a bug
is chirping at 3000 chirps per minute is .........F.
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 10 15 y...
19. (2pts) Which of the following is NOT an assumption in simple linear regression? o The &i's have variance o2. o The Ɛi's are normally distributed. o The response variable y is normally distributed for each value of x. O The εi's are linearly related to x. 20. (2pts) The Central Limit Theorem states that the sampling distribution of X1 – X2 is (approximately) normal: o When at least one of the sample sizes is greater than or equal to...
Show work please, Thanks!
Question 3: The regression line equation for a set of data is given by y-hat = 2.3x+5 with n = 10. The mean value of y is 10.1 for the data set. Use a = 0.05. A. If the linear correlation coefficient is r=0.521, what is the best predicted y-value for x = 5? Justify for your answer. B. If the linear correlation coefficient is r = 0.972, what is the best predicted y-value for x...
Name: Instructor Date: Section 6. The regression line equation for a set of data is given by y-23x+. -10. The value of for this same data set is 10.1. Use α .05 a. If the lincar correlation coefficient for this data is -521, what is the best y -value for x 57 b. If the linear correlation coefficient for this data is r 972, what is the best predicted y-value for x=5? size n 15 with a 01 7. What...
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