2)The following table gives Hhelevelof production ofalarge .company in ferms of xithe humber of carstheyproduce monthly. YI gives the totalcost ofproducing such cars (inmillions of dollans). Findhenumber of ans theyShould bc producing montíhly.so thattheir cost per caris as small as passible.thntiUse a quadratic regression (not acobic) for theformula fory in this data set.2028.23852200400600800Find a formula for y as in the homcuork Usingquadratic regression. Then write the formula fory2,the unit óst. The write a formula for y3, thederivative oe y2. Then, find tthe minimum Ofy2by seeing whea y3=0.43=

A quadratic regression equation, can be expressed in the form; Y = b0 + b1x + b2x2 + e ; where e is…

2The following table qives thelevel of production of alange.compahy in ferms of x,the number of cars theyproducemonthly. YI gives the total cost of producing such cars (inmillions of dollans). Find thenumber of cons theyShoold bcproducing monthly so that their cost per car is as small as possible. Hint:Use a quadratic regression (not acubic) for the formula for y in this data set. 20 28.2 38 52 200 400 600 800 Find a formula for y as in the homcwork Using quadratic regression. Then write the Pormula for y2,the unit cost. The write a formula for y3, the derivative oe y2. Then, findthe minimum bf yZ by seeing where y3=0.

2The following table qives thelevel of production of alange.compahy in ferms of x,the number of cars theyproducemonthly. YI gives the total cost of producing such cars (inmillions of dollans). Find thenumber of cons theyShoold bcproducing monthly so that their cost per car is as small as possible. Hint:Use a quadratic regression (not acubic) for the formula for y in this data set. 20 28.2 38 52 200 400 600 800 Find a formula for y as in the homcwork Using quadratic regression. Then write the Pormula for y2,the unit cost. The write a formula for y3, the derivative oe y2. Then, findthe minimum bf yZ by seeing where y3=0.

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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In simple linear regression: a. The size of the coefficient for each IV gives you the size of the effect that varilable has on the DV. b. The sign of the coefficient gives you the direction of the effect. c. With a single IV, the coefficient tells you how much the DV is expected to increase or decrease when the IV increased by one unit. d. All of the above.
A researcher is interested in finding out the factors which determined the yearly spending on family outings last year (Y, measured in dollars). She compiles data on the number of members in a family (X1), the annual income of the family (X2), and the number of times the family went out on an outing in the last year (X3). She collects data from 196 families and estimates the following regression: Y=120.45+1.54X1+2.12X2+2.12X3. Suppose β1, β2, β3, denote the population slope coefficients of X1, X2, and X3, respectively. The researcher wants to check if neither X1 nor X2 have a significant effect on Y or at least one of them has a significant effect, keeping X3 constant. She calculates the value of the F-statistic for the test with the two restrictions (H0: β1=0, β2=0 vs. H1: β1≠0 and/or β2≠0) to be 3.00. The p-value for the test will be enter your response here?
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D. Only OLS assumption #2 is satisfied. The estimated regression is Y = 39+0.45X; Compute the estimated regression's prediction for the average score of students given 99, 129, or 155 minutes to complete the exam. Given 99 minutes, the estimated regression's prediction for the average score of students is Given 129 minutes, the estimated regression's prediction for the average score of students is Given 155 minutes, the estimated regression's prediction for the average score of students is (Round your responses to two decimal places.) Compute the estimated gain in score for a student who is given an additional 19 minutes on the exam. The estimated gain in score for a student who is given an additional 19 minutes on the exam is (Round your response to two decimal places.) Click to select your answer(s). W (DELL] o search PROU II
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3. Suppose that the following import function for Turkey is estimated for Turkey between 1980-2015. Import, a, + a,GDP; + ażER¸ + ut In order to measure the impact of 2001 crisis the regression is estimated based on the whole and two subsamples and the following RSS are obtained. Time period: 1980-2000 , RSS1= 69 Time period: 2001-2015, RSS2 =35 Time period: 1980-2015 , RSS = 160 Carry out the Chow test whether the regressions for the two periods are different at 5% significance level. (35 P)
The following data on x maternal age in years of the young birth mothers and y = weight of baby born in grams summarizes the result of a study. Assume that a simple linear regression model y = Bo + B1x + e is an appropriate model for the study. x-bar = 17 (avg of x's) y-bar = 3004.1 (avg of y's) SSx = 20 SSxy %3D 4903 SSw 1539182.9 n 10 Calculate the value of s-(standard error of regression) and enter the answer to the nearest tenth (1 decimal place).
Use the following linear regression equation to answer the questions. x1 = 2.0 + 3.6x2 – 7.8x3 + 2.1x4 a) Suppose x3 and x4 were held at fixed but arbitrary values and x2 increased by 1 unit. What would be the corresponding change in x1?b) Suppose x2 increased by 2 units. What would be the expected change in x1?c) Suppose x2 decreased by 4 units. What would be the expected change in x1?
Q13) assume the final regression equation from the stepwise regression analysis of the dependent variable cost (C) and the 10 potential independent variables is as follows: C = -5000 + 75 D + 0.4 S - 130 PT + 100 NE Given that the final model is valid, interpret the coefficient of S: On average, with each additional MWe of net capacity, the construction cost _____ while keeping other variables constant. A) decreases by $0.4 B) increases by $400,000 C) increases by $0.4 D) decreases by $400,000
Consider the following regression equation representing the linear relationship between the Canada Child Benefit provided for a married couple with 3 children under the age of 6, based on their annual family net income: ŷ =121.09−0.57246xR2=0.894 where y = annual Canada Child Benefit paid (in $100s) x = net annual family income (in $1000s) Source: Canada Revenue Agency a. As the net annual family income increases, does the Canada Child Benefit paid increase or decrease? Based on this, is the correlation between the two variables positive or negative?The Canada Child Benefit paid .The correlation between the two variables is .b. Calculate the correlation coefficient and determine if the relationship between the two variables is strong, moderate or weak.r= , the relationship is . Round to 3 decimal places c. Interpret the value of the slope as it relates to this relationship. For every $1 increase in annual family net income, there is a $0.57246 decrease in…