(c) Graph the line found in part (b) on the scatter diagram. Choose the correct graph below.O A.Ay100-10X70□B.Ay70-10+10(d) By hand, determine the least-squares regression line.y = x + ((Round to three decimal places as needed.)X70C.AY100-0+10●X70O D.Ay70-10-0X100Ly Complete parts (a) through (h) for the data below.X 20y7970-307510+04071(a) By hand, draw a scatter diagram treating x as the explanatory variable and y as the response variable. Choose the correct scatter diagram below.A.B.C.Ay100-y50621006050y =X +(Type integers or simplified fractions.)Ay70-10+10(b) Find the equation of the line containing the points (30,75) and (60,50).X700+10●X70

Given X 20 30 40 50 60 Y 79 75 71 62 50

Answered: A. Ау Dol of 10 70 G O B. x+ ound to…

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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If the equation for the regression line is y = 6x + 4, then a value of x = –3 will result in a predicted value for y of -14 6 -6 4
for (f) the line equation is (could not include in screenshot): y=2x+(-4) How do you compute the sum of the squared residuals for the LINE in F and sum of residuals for the LEAST-SQUARES regression lind in D? Please do on a TI-84 Plus calculator (or just a calculator) instead of by hand. Thanks
The file Galton on D2L contains the 928 observations Francis Galton used in 1885 to estimate the relationship between the heights of parents and the heights of their children. The column Children refers to the height (in inches) of a child, and the column Mid-Parents refers to the average height (in inches) of the mother and father of that child. You can download this file into Excel and Minitab. a. Calculate the regression Height of Children = a +b (Height of Mid-Parents). b. Calculate the average for Height of Children, and calculate the average Height of Mid-Parents. c. Create a new variable in Minitab which is the Height of Children measured in terms of deviations from its mean. Call this new variable y. Also, create a new variable in Minitab with is the Height of Mid-Parents measured in terms of deviations from its mean. Call this new variable x. Calculate the regression y = a + bx. You can create the new y and x variables in Excel of Minitab, whichever you find more convenient.…
two variables have at least squares regression line of 28.77 + 0.346 7x. Calculate the value of y that is predicted for an x value of 35.
Let kids denote the number of children ever born to a woman, and let educ denote years of education for the woman. A simple model relating fertility to years of education is: kids; = Bo + B1educ; + uż. 1. What are the parameters in the model? 2. What kinds of factors are contained in u? Are these likely to be cor- related with level of education? 3. Will a simple regression analysis uncover the ceteris paribus effect of education on fertility? Explain.
Use the following linear regression equation to answer the questions. X3=-17.3+3.7x1+9.6x4-2.0x7 a) which number is the constant term? List the coefficient explanatory variables. constant= x1 coefficient = x4 coefficient =x7 coefficient =b) if x1=1, x4=-3, x7=5, what is the predicted value for x3?(round you answer to one decimal place.) c) suppose x1 and x7 were held at fixed but arbitrary values. If x4 increased by 1 unit what would we expect the corresponding change in x3 to be? if x4 increased by 3 units what would be the corresponding expected change in x3?if x4 decreased by 2 units what would we expect for the corresponding change in x3?
Suppose that in R we have loaded the cps dataset, which contains the variables wage, educ, and exper. We want to run a regression of wage on edục and exper and save the output in a variable called regout. What is the correct command for this operation? O a. regout = 1m(wage = educ + exper, data = cps) O b. 1m(wage educ + exper, data = cps) 1m(wage educ + exper, data = cps) O e. regout <- lm(wage - educ + exper, data = cps) Clear my choice
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.
z score z score for each for each value of value of Zzły х х -0.278 0.536 -0.149 -0.089 0.696 -0.062 -1.253 -1 -1.652 2.070 -0.714 -0.928 0.663 2.461 1.473 1.671 0.536 0.371 0.199 -0.089 4 -0.278 0.025 Σ: ỹ = 3.857 S, = 3.078 = 5.207 T= 4.286 s, = 3.200
Assume in a regression, SSR = 2* SSE. What is the coefficient of determination (R-sq)? provide solution in decimal form
For x={1 2 3 4 5} and y={2 1 4 3 6} use normal equation (c =(ATA)-1ATy) to find with: a-) linear regression coefficients, b-) the linear regression equation, c-) residel sum of squares(RSS)
I need the right answer to d, e, and f ASAP, please.

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A. Ау Dol of 10 70 G O B. x+ ound to three decimal places as needed) Ay 70+ 10- 10 By hand, determine the least-squares regression line. 70 Q OU O C. Ау 100- 0+ 10 M 70 Q O D. Ay 70- 5° 10+ 0 +