Linear Regression and Correlation.y1-7.132-8.763-9.794-8.125-12.85Compute the equation of the linear regression line in the form y = mx + b, where m is the slope andb is the intercept.Use at least 3 decimal places. (Round if necessary)y =Compute the correlation coeficient for this data set. Use at least 3 decimal places. (Round ifnecessary)r=Use at least 3 decimal places. (Round if necessary)P-valueAt the alpha = 0.01 significance level, is the correlation significant?O NoO Yes, significant correlation

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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5-5) 5-52. Interpretation of Regression Results Lerner, Inc., is accumulating data to prepare its annual profit plan for the coming year. The behavior pattern of the maintenance costs must be determined. The accounting staff has suggested using regression to derive an equation in the form of y = a + bx for maintenance costs. Monthly data regarding maintenance hours and costs for the preceding year have been entered into the regression analysis. Total hours of maintenance for the year Total costs for the year Regression results: Intercept b coefficient IMIT 4,800 $ 43,200 $ $ 684.65 7.29 0.79724 Required In a regression equation expressed as y = a + bx, how is the letter b best described? How is the letter y in the regression equation best described? How is the letter x in the regression equation best described? d. Based on the data derived from the regression analysis, what are the estimated costs for 360 maintenance hours in a month? What is the percent of the total variance that can…
Cost and Customer Satisfaction A researcher is interested whether there is a linear correlation between cost (in dollars) of internet service per month and customer satisfaction on a scale of 1 - 10 (with a 1 being extremely dissatisfied and 10 extremely satisfied). The researcher only includes internet service with similar download speed. The sample he collected is below. Cost (x) 15 18 17 11 9 11 12 19 18 22 Satisfaction (y) 6 8 10 4 9 6 3 5 2 10 Find the regression equation.
Interpretation of the estimated coefficients of a Linear Regression Equation
A regression coefficient is given Match the correct equation with answers given below Y =0.00114x + 2.53 Y=1.662x + 83.34 Y = -1.04x + 50.3 Y= -0.667x + 52.6
Demand for Smartphones The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017. Year 2012 2013 2017 Selling Price p ($100) 4 Sales q (billions) 0.5 3 1 2 2 Find the regression line (round coefficients to one decimal place). q(p) = 1.0166 X Use the regression line to estimate the demand (in millions of units sold) when the selling price was $320. 1016.6 million
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1ee 19 20 21 22 23 24 25 Price ars) QUESTION 6 A medical rescarcher found a significant relationship among a person's age x, chloresterol level x2, sodium level of the blood x3, and systolic blood pressure y. The regression equation is 97.3+0.700x+21&-299x3, Predict the systolic blood pressure of someone who is 31 years old and has a chloresterol level of 195 milligrares per deciliter and a sodium blood level of 142 milliequivalents per liter. O 171 O-24 O 128 O 85,087 QUESTION 7 MacBook Air SO DII F3 FS F6 & 4 W R T Y D H K V
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Linear Regression and Correlation. y 1 -7.13 -8.76 -9.79 4 -8.12 -12.85 Compute the equation of the linear regression line in the form y = mx + b, where m is the slope and b is the intercept.