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?
Given that, regression equation is,
If the X value is above the mean ( positive deviation) then,
the predicted Y value will be below the mean for the Y scores. ( Because coefficient of slope ( X ) is negative)
For the regression equation, Ŷ = –2X + 6, if the X value is above 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
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 16.6 + 3.5x1 − 2.2x2 + 7.8x3 + 2.8x4 a) Predict y when x1 = 10, x2 = 5, x3 = 1, and x4 = 2. ŷ = 17.9 + 3.6x1 − 2.2x2 + 7.9x3 + 2.8x4 b)Predict y when x1 = 10, x2 = 5, x3 = 1, and x4 = 2.
A sample regression equation is given by y=-100+ 0.5x. If x = 20, the predicted value of yis. ο ο ο ο < Prey 6 of 30 !!! Next >
The regression equation is Ŷ = 29.29 − 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the critical value to test the significance of the slope at the 0.01 significance level?
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?
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...
(16) A regression model is estimated to be Y = 4 + 2X What is the predicted value of Y if X = 10? What is the impact on Y if X is increased by 1 unit?
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.
Use the following 4 (x, y) pairs to find the equation of the least squares regression line. x 2 3 5 6 y 5 9 10 12 Round the first answer (constant) to 0 decimal places (integer) and the second answer (slope) to 1 decimal place. ? * ? Based on the above equation, what is the predicted value of y if x = 10? Round answer to 0 decimal places (integer). ?
The regression equation is Ŷ = 30 + 2.56X, the sample size is 14, and the standard error of the slope is 0.97. What is the test statistic to test the significance of the slope? Multiple Choice z = −2.560 z = +2.639 t = +2.560 t = +2.639