A researcher is running a regression in order to try to determine the factors thatinfluence the selling price of a car. The correlation matrix for the variables he wantsto include in his model are shown below (price is the dependent variable).wheelbase cortheght curbweght boreroto strole compressionvate horsepower ghwoympg pricewheelbasecarheightcurbweightboreratiostrokecompressionratiohorsepowerhighwaympg1.00000.3941.00000.77640.29361.00000.48870.17110.048S1.00000.16100.05530.16880.0559 1.00000.240.26120.15140.0052 01611.00000.35330.10880.75070.3717 0.0090.2041L0000-0.54410.10740.79730.3870 0.04390.2652L0000price0.57780.1193ESEFO0.3532 00740.06804.0976 1.0000Which independent variables, if any, may cause a multicollinearity problem? Selectall that apply.Select 3 correct answer(s)boreratiocurbweightO There is no potential problem with multicollinearity.O stroke|carheightO highwaympghorsepowercompressionratiowheelbase

Correlation shows the relationship between the two numerical variable. Where the intercorrelation…

Answered: A researcher is running a regression in…

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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An aerobic exercise instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. (A graphing calculator is recommended.) Age (x years) 20 40 60 Maximum heart rate(y beats per minute) 166 150 134 (a) Find the linear correlation coefficient for the data. (Round your answer to two decimal places.)(b) What is the significance of the value found in part (a)? The graph of the regression points passes through all three data points.One of the data points is the y-intercept. The linear correlation coefficient should always be positive.The graph of the regression points passes through none of the data points.The slope of the regression is about half of what the expected value is. (c) Find the equation of the least-squares regression line. (Round your answers to two decimal places.)ŷ = (d) Use the equation of the least-squares line from part (c) to predict the maximum…
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Using the chart as a guide, what value of the linear correlation coefficient (r) makes sense according to how the data is trending? SAT score_GPA scatterplot.pdf
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The linear correlation between violent crime rate and percentage of the population that has a cell phone is −0.918 for years since 1995. Do you believe that increasing the percentage of the population that has a cell phone will decrease the violent crime rate? What might be a lurking variable between percentage of the population with a cell phone and violent crime rate? Question content area bottom Part 1 Will increasing the percentage of the population that has a cell phone decrease the violent crime? Part 2 What might be a lurking variable between percentage of the population with a cell phone and violent crime rate?
Statistical technique used to determine the degree to which two variables are related is known as a. Regression b. Correlation c. None of these d. Dispersion
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Part A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
An aerobic exercise instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. Age (x years) 20 30 40 50 60 Maximum heart rate 170 168 153 147 136 (y beats per minute) Find the linear correlation coefficient for the data.
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Do a linear regression between ‘Weight’ vs ‘Performance.’ Let ‘Performance’ be the dependent/response variable and ‘Weight’ be the independent/predictor variable.
A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?

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