Given the information in the image
The least-squares regression equation is:
Ʃx = 24, Ʃy = 16, Ʃxy = 75, Ʃx² = 180, Ʃy² = 90, n = 10
x̅ = Ʃx/n = 24/10 = 2.4
y̅ = Ʃy/n = 16/10 = 1.6
SSxx = Ʃx² - (Ʃx)²/n = 180 - (24)²/10 = 122.4
SSyy = Ʃy² - (Ʃy)²/n = 90 - (16)²/10 = 64.4
SSxy = Ʃxy - (Ʃx)(Ʃy)/n = 75 - (24)(16)/10 = 36.6
Slope, b = SSxy/SSxx = 36.6/122.4 = 0.29902
y-intercept, a = y̅ -b* x̅ = 1.6 - (0.29902)*2.4 = 0.88235
Least-squares regression equation:
ŷ = 0.8824 + 0.2990 x
Given the information in the image The least-squares regression equation is: Σx-24, Σy-16 Σ-180, Σν-90 ,...
A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σ(y - )(x - ) = 466 Σy = 170 Σ(x - )2 = 234 n = 10 Σ(y - )2 = 1434 The F-statistic is Question 37 options: a18.341 b1.834 c14.673 dNone is correct.
6) Compute the least-squares regression line for predicting y from x given the following summary statistics. Round the slope and y -intercept to at least four decimal places. = x 8.8 = s x 1.2 = y 30.4 = s y 16 = r 0.60 Send data to Excel Regression line equation: = y 7)Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round the slope and y -intercept to at least four decimal...
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5. (2 points) When a least-squares linear regression equation is constructed based upon a data set, and a line is constructed from this equation, which (Gif any) of the following is a. The point (F,) must be on the regression line. b. The point (0,b) must be on the regression line. c. The point (0,b) must be on the regression line. d. None of the above statements are false. All of the above statements are true. ons for ss is...
Compute the least-squares regression equation for the given data set. Round the slope and y-intercept to at least four decimal places. х 3 7 5 4 y اقتها 1 6 4 5 Send data alle Regression line equation: y
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Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3 4 5 6 Demand 6 8 5 8 7 13 The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places): y = ? + ?x where y = demand and x = period
Given the following information, what predicted value for x = 4 would the least squares regression line give? The least squares estimates of the y-intercept and slope are 27.6 and 7.8, respectively. х у 2 35 5 55 4 60 3 65 б 79 o 7.8 27.б оооо o58.8 о 60 Given the following information, what F statistic would you get when testing the least squares regression line? x y 2 45 5 65 4 70 3 75 6 89...
Compute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y-intercept to at least four decimal places. x 5 7 6 2 1 y 4 3 2 1 Send data Regression line equation: y = Submit Assignment 2019 McGraw- Hill Education. All Rights Reserved. Terms of Use | Privacy ERTI YU