lon Status!O Moderate and PositiveQUESTION 11Run this Linear Regression Hypothesis Test to determine if there is a significant correlation between x and y for this data set at a 5%significance level.18396021586233246954176457325324176139281389Round answers to 3 decimal places where needed.Test Statistic =p-value =Is there are significant correlation between x and y? (Yes or No)QUESTION 12Based on this data, calculate the correlation and regression equation. Then use the regression equation to predict the y, for the given x.1839602158623324695417y6457325324176139281389Round answers to 2 decimal places where needed.r =Y =

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Answered: Run this Linear Regression Hypothesis…

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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Compute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y-intercept to at least four decimal places. 43 37 15 19 24 37 18 y 72 67 25 29 42 65 32 Send data to Excel Regression line equation: y = 1.7777x + 1.5838
15. Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $115 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions %3D 39 23 117 70 70 49 122 62 64 122 20 11 149 111 18 104 68 129 116 98 95 60 113 208 40 22 288 48 8. Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = (Round to one decimal place as needed.) х. The best predicted gross for a movie with a $115 million budget is $ million. (Round to one decimal place as needed.)
Consider the following data set, where y is the final grade in a math class and is the average number of hours the student spent working on math each week. hours/week X 6.5 10 11 12.5 13 14.5 15 17.5 19.5 20 Grade y 66.1 63 71.4 72.5 79.2 94.3 95 91.5 100 98 The regression equation is y = 3x + 41.3. a) Explain what the value of the slope means in this situation, where y is the final grade in a math class and is the average number of hours the student spent working on math each week. O For each additional hour per week that a student studies on average, their final grade will be about 3 points. O For each additional hour per week that a student studies on average, their final grade will be about 41.3 points higher. For each additional hour per week that a student studies on average, their final grade will be about 3 points higher. O For each additional hour per week that a student studies on average, their final grade will be about 41.3 points. b) Explain what the value of the…
1. ŷ = ___ ＋___ X (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) 2. Identify a characteristic of the data that is ignored by the regression line.
5. Explain what the correlation coefficient tells you about the relationship between your variables. 7. Interpret the slope of the regression equation in terms of the variables in your data set.
Please answer A,B, D, F, & G pls and thank you!
Use the regression equation to predict the value of y for x = -1.6. Assume that the variables x and y have a significant correlation. -5-34 1 -1-2 X 0 2 3 -4 y - -10 8 9 1 -2-6 -1 3 6 -8 OA. 1.214 OB. -2.803 O C. 2.980 OD. -3.907

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Run this Linear Regression Hypothesis Test to determine if there is a significant correlation between x and y for this data significance level. 18 39 60 21 58 62 33 24 69 54 12 64 57 32 53 24 17 61 39 28 13 89 Round answers to 3 decimal places where needed.