Question 4 - 6 refer to following variables: Dependent variable: Sentence MonthsIndependent variable: Year of EducationCompute the regression intercept of the two variables (Round off to two decimal places if necessary) **Table 1. Data from Random Sampling**| Monthly Income ($1,000) | Marital Status | Year of Education | Type of Punishment | Sentence Months ||-------------------------|----------------|-------------------|--------------------|-----------------|| 1.8 | 2 | 8 | 2 | 12 || 2.3 | 3 | 7 | 1 | 16 || 2.5 | 1 | 10 | 2 | 18 || 2.3 | 1 | 9 | 1 | 22 || 3.8 | 2 | 14 | 1 | 8 || 1.9 | 1 | 11 | 1 | 15 || 3.2 | 2 | 14 | 2 | 8 || 2.1 | 3 | 12 | 1 | 6 || 1.9 | 2 | 7 | 1 | 15 || 2.1 | 2 | 10 | 3 | 9 || 2.1 | 3 | 12 | 2 | 10 || 2.0 | 1 | 8 | 2 | 14 || 2.6 | 2 | 8 | 2 | 13 || 2.6 | 1 | 9 | 1 | 9 || 2.0 | 1 | 7 | 2 | 11 || 2.6 | 1 | 12 | 3 | 7 || 1.9 | 2 | 9 | 1 | 11 || 2.5 | 3 | 7 | 2 | 7 || 2.1 | 1 | 9 | 1 | 11 || 2.6 | 2 | 7

Question 4 - 6 refer to following variables: Dependent variable: Sentence Months Independent variable: Year of Education Compute the regression intercept of the two variables (Round off to two decimal places if necessary)

Question 4 - 6 refer to following variables: Dependent variable: Sentence Months Independent variable: Year of Education Compute the regression intercept of the two variables (Round off to two decimal places if necessary)

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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QUESTION 6 Wildlife researchers believe they can accurately predict an alligator's weight (lbs.) based on the animal's length (in.) as measured from a distance. The following linear equation represents the LS regression line: Weight = -393+7.9(Length) Suppose the researchers capture a 60 in. long alligator that weighs 75 pounds. What is the residual for this alligator? O a. - 7.5 pounds O b. 81.0 pounds OC. 15.0 pounds Od. - 6.0 pounds Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answe Multiple Author....pdf 9 Report.pdf 3 BLM.pdf xamine KiaCK LIVPS Matters own. ang now These are. 15 000 000 F4 F3 F5 F6 F7 F8 F9 $4 % & %24
Statistics Canada produces consumer price indexes for several different categories. Shown here are the percentage changes in consumer price indexes over a period of 22 years for durable goods, semidurable goods, and nondurable goods. Also displayed are the percentage changes in total goods price index. Use these data and multiple regression to develop a model that attempts to predict the total goods index by the other three variables. Comment on the result of this analysis. Year TotalGoods DurableGoods SemidurableGoods NondurableGoods 1 85.7 89.4 91.9 83.2 2 86.4 90.4 92.5 83.8 3 87.8 92.5 93.4 85.2 4 86.8 96.0 94.2 81.6 5 88.4 99.0 94.9 82.9 6 89.9 100.8 95.4 84.4 7 91.2 101.6 97.0 86.0 8 91.4 101.5 97.7 86.1 9 93.1 101.5 99.2 88.4 10 96.0 100.8 99.6 93.3 11 98.4 100.1 100.3 97.4 12 100 100 100 100 13 101.9 99.2…
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 0 2 2 3 5 5 Test score, y 38 45 52 49 61 73 (a)x= 2 hours (b)x=4.5 hours (c)x=13 hours (d)2.5 hours Find the regression…
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