Question 29>Run a regression analysis on the following bivariate set of data with y as the response variable.Xy60.624.89039.673.286.671.863.36144.134.3Verify that the correlation is significant at an a = 0.05. If the correlation is indeed significant, predictwhat value (on average) for the explanatory variable will give you a value of 76.9 on the response variable.What is the predicted explanatory value?X =(Report answer accurate to one decimal place.)Question Help: Post to forumSubmit Question21.96.344.47.342.142.640.159.321.720.210.1

Let x be an explanatory variable and y be a response variable. The data provided for x and y are as…

Answered: Run a regression analysis on the…

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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Here is a bivariate data set. x y 44.5 37.1 33 19.5 40.1 33.9 26 122.3 32.3 44.5 38.6 21.8 44 -36.9 42.5 -16.4 22.4 42.1 24.6 72.5 Use technology to find the correlation coefficient and report it accurate to three decimal places.
It is believed that standardized test scores, such as SAT, is a good predictor of first-year college students' GPA. 750 1200 3.2 1120 1000 1420 1280 1100 2.5 2.7 3.5 2.9 2.2 2.3 1. Find the p-value to determine if there is a linear correlation between SAT scores and GPA. Record the p- value below. Round to four decimal places. p-value = 2. Is there a linear correlation between SAT scores and GPA? 3. If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. T= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. 5. Using the data shown above, predict a student's first-year GPA when the student scores a 1275 on the SAT. Round your final answer to two decimal places. 6. If there is a linear correlation, what percentage of variation in GPAS can be explained by students' SAT scores? If there is not a linear…
Run a regression analysis on the following bivariate set of data with y as the response variable. х у 71 67.4 79.8 31.5 57.8 58.4 39 92.3 28.4 99.8 55.2 66.5 63.7 35.2 45 83.6 66.1 38.7 53.3 35 66.7 50.1 65.8 45 48.2 48.8 75 10.5 56.7 73 44 59 Verify that the correlation is significant at an a = 0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 13.5 on the response variable. What is the predicted explanatory value? 15
Here is a bivariate data set. y 54.7 71.7 56 32.8 82.5 79.6 49.7 25.4 73.2 88.1 71.4 78.7 81.1 85.8 39.7 26.5 Find the correlation coefficient and report it accurate to three decimal places. r =
Here is a bivariate data set. x y 37.7 34.8 35.8 35.4 35.3 38.7 36.7 31.5 44.2 17.6 35.6 35.9 30.6 44 32.6 43.7 35.6 37.2 36 34.7 Use technology to find the correlation coefficient and report it accurate to three decimal places.
re is a bivariate data set. x y 24.8 12.9 35.2 39.9 -1.9 -21 49.5 39.4 29 35.7 34.5 23.8 25.8 12.3 48.7 85.2 23 3.1 23.4 22.7 22.9 3.2 41.7 41.2 36.4 4.9 21.3 23.4 -0.7 5.5 34.8 79.7 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.r² = %
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.05α=0.05. You have the following bivariate data set. x y 43.5 181.7 81.9 106.1 74.4 58.4 99 1.8 83.1 -6.3 29.5 150.5 62.6 44.7 66.4 54 60.5 142.9 66.7 48.7 60.3 41 61.7 171.8 What is the critival value for this hypothesis test?rc.v. = What is the correlation coefficient for this data set?r =
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.02α=0.02. You have the following bivariate data set. x y 25.2 64.3 15.3 79.6 39 49.8 30 75.1 14.8 82.2 15.7 69.9 4.3 92.5 17.9 84.4 13.4 77.6 18.4 74.4 25 78.1 24.4 65 23.7 69.7 10.9 89.1 31.3 65.3 20.6 82.4 20.4 81.1 29 68.2 13.9 92 8.7 88.4 5.3 93.4 What is the correlation coefficient for this data set? r = (report answer accurate to at least 3 decimal places)What is the p-value for this correlation coefficient? p-value =
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.01α=0.01. You have the following bivariate data set. x y 43.5 15.5 31.7 -8 50 4.3 48.9 9.4 64.2 17.8 40.6 4.2 69.9 17.3 65.8 30.7 74.1 29.3 65.5 43.8 58.5 34.2 64.9 27.8 What is the critival value for this hypothesis test?rc.v. = What is the correlation coefficient for this data set?r = Your final conclusion is that... There is insufficient sample evidence to support the claim the there is a correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant correlation between the two variables. Note: In your calculations, round both r and t to 3 decimal places in ALL calculations.
Run a regression analysis on the following bivariate set of data with y as the response variable. X y 55.3 42.3 34.4 24.7 40.7 -3 2 17.7 36.1 0.9 27.6 15.6 27.6 10.4 30.5 102.8 82.5 64.9 79.1 63.1 52.1 52.2 -1 Find the correlation coefficient and report it accurate to three decimal places. 9 What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = % y = Based on the data, calculate the regression line (each value to three decimal places) X+ Predict what value (on average) for the response variable will be obtained from a value of 39.5 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? (Report answer accurate to one decimal place.) y =
Here is a bivariate data set. X y 69 73.4 69.1 64.9 67.9 69.3 81.3 65.1 66.1 71.1 65.5 70.3 51.9 85.9 35 70.8 53.2 66.6 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. R2 =
Here is a bivariate data set. x y 97.2 41.8 65.7 55.1 62.4 56.8 77.8 53.2 90.9 36.9 63.7 56.8 86.3 43.1 86.6 46.9 85.7 44.4 Find the correlation coefficient and report it accurate to three decimal places.r =

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