10-8-610--4-28TV6-a.246...P2AIT•h6Consider the scatterplot given above. Which of the following could be the value of r?OA. -0.124OB. 0.725OC. 0.913OD. -0.906PU8 10Given that the regression line has a slope of -0.852 and a y-intercept of 0.92, find the slope-intercept equation of the regression line.y=0Use the regression line to predict the y-value for the x-value of -3.685. (Round to three decimal places).y=0

The correlation value for the scatter plot is determined below as follows: From the given scatter…

Answered: -10-8-6 -4 10- 8 -2 6 4. 2- -2 4 -6-…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,8), use the pairs of values for the remaining 9 points and find the equation of the regression line.. c. Compare the results from parts (a) and (b). C a. What is the equation of the regression line for all 10 points? ŷ=+x (Round to three decimal places as needed.) b. What is the equation of the regression line for the set of 9 points? y = (Round to three decimal places as needed.) y= c. Choose the correct description of the results below. OA. The regression line changes, but the change is small. OB. The regression line is very similar in both cases. OC. There is no regression line for the second case because the data are in a pattern. On The removal of the point has a significant impact on the regression line 10 8- 0 ++++++ 0 2 4 6 8 10. OON
Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance (x) / 10 / 5 / 6 / 6 / 9 / 3 / 3 / 4 / 5 / 9 Attitude (y) / 3 / 9 / 7 / 6 / 8 / 10 / 3 / 3 / 4 / 7 Use the given data to find the equation of the regression line. Enter the slope. (Round your answer to nearest thousandth.)
The point (9.1,71) is a point on the scatterplot. Draw the graph of the regression line on the scatterplot on the back of this paper using the y-intercept and the point(I = 3,y = 191). Indicate the residual for z = 9.1 by drawing the vertical line between(9.1, 71) and the corresponding point on the regression line. Will the residual be a positive or negative value?(f) Find the value of the residual for x = 9.1.
Please show excel formulas if possible. Thanks!
Ay 10- to 10--8-8- 40 *.*** Consider the scatterplot given above. Which of the following could be the value of r? O A. -0.236 OB. 0.213 C. 0.998 O D. 0.875 Given that the regression line has a slope of -0.942 and a y-intercept of -1.767, find the slope-intercept equation of the regression line. y =-0.942x+ 1.767 Use the regression line to predict the y-value for the x-value of -4.206. (Round to three decimal places). y = 2.195 I am Confide I am Val I am Stro
Given the following, determine the price of a Corolla that is six years old given the graph of the regression line.
tot Consider the scatterplot given above. Which of the following could be the value of r? O A. 0.913 О В. -0.124 O C. -0.906 O D. 0.725 Given that the regression line has a slope of 0.345 and a y-intercept of - 0.296, find the slope-intercept equation of the regression line. y =| Use the regression line to predict the y-value for the x-value of - 0.627. (Round to three decimal places). y =
The ages (in years) of five men and their systolic pressures. (You can use technology) Age, x 16 25 39 45 49 Systolic blood pressure, y 109 122 143 132 199 a. calculate the correlation coefficient, r b. calculate the critical r c. Is there a significant linear relationship between x and y? d. find the equation of regression line e Interpret the slope and the y-intercept f. Predict the systolic blood pressure for a man who is 40 years old.
Question. Using the following regression result, make your answers to the questions. Call: Im(formula - wage - educ, data - data) Residuals: 10 Median -5.1579 -2.5066 0.3816 2.4539 4.4737 Min 30 Max Coefficients: Estimate Std. Error t value Pr(>1tl) (Intercept) 9.0526 educ 5.1420 1.761 0.11635 2.1842 0.5994 3.644 0.00655 ** --- Signif. codes: 0 ***** 0.001 *** 0.01 ** 0.05 . 0.1' 1 Residual standard error: 3.305 on 8 degrees of freedom Multiple R-squared: 0.6241, F-statistic: 13.28 on 1 and 8 DF, p-value: 0.006549 Adjusted R-squared: 0.5771 1) Using the estimate and standard error of educ variable, perform the following hypothesis test. Ho:Beduc = 0 H1: Beduc # 0 2) Interpret the above hypothesis test result.
Given are the set of Y (price) and X (demand) of a certain commodity. X- {9,7,8,9,3,2} and Y- {6,5,7,6,9,8} respectively.a. The equation of the regression line isy=3.6712+4.2318xy=3.6712-4.2318xy=9.1972-0.3732xy=9.1972+0.3732xb. What will be the price of a commodity if the demand is 12?3.97244.17885.76898.1234c. What will be the demand of a commodity if the price is 6?5.43567.23158.56709.1254d. The coefficient of correlation is equal to0.850.78-0.85-0.78
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