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Exercise 61 2 For each of the following scenarios: i State the value of the gradient of the regression line and interpret its meaning. ii State the value of the y-intercept of the regression line and interpret its meaning if relevant, giving a reason if there is no meaning. A number of students were asked for their average grade at the end of the last year of high school, x, and their average grade at the end of their first year at university, y. On calculating the regression line for the resulting data, the result was y=-2.50 +1.04x. b It is found that the relationship between the height in centimetres, x, and the weight in kilograms, y, of a group of 15-year-old students can be modelled with the regression line y=-70+ 0.87x. c A car salesman wants to study the relationship between the time in years after a particular type of car is bought, x, and the value of the car in US$. y. The regression line is found to be y=-250x + 9000.

Exercise 61 2 For each of the following scenarios: i State the value of the gradient of the regression line and interpret its meaning. ii State the value of the y-intercept of the regression line and interpret its meaning if relevant, giving a reason if there is no meaning. A number of students were asked for their average grade at the end of the last year of high school, x, and their average grade at the end of their first year at university, y. On calculating the regression line for the resulting data, the result was y=-2.50 +1.04x. b It is found that the relationship between the height in centimetres, x, and the weight in kilograms, y, of a group of 15-year-old students can be modelled with the regression line y=-70+ 0.87x. c A car salesman wants to study the relationship between the time in years after a particular type of car is bought, x, and the value of the car in US$. y. The regression line is found to be y=-250x + 9000.

MATLAB: An Introduction with Applications
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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Unit 6.3 Interpreting the regressi X + resentation/d/1G44xEZKbfMP9N7nRAy31pKPwtk6yR2x-eDlclspS9v4/edit#slide-id.g11787709621_0_12 Applications | RapidIdentity X ssion line 40 edit was made on February 28, 2022 by Phillip Tewers Exercise 61 2 For each of the following scenarios: i Q Search State the value of the gradient of the regression line and interpret its meaning. ii State the value of the y-intercept of the regression line and interpret its meaning if relevant, giving a reason if there is no meaning. a Op M N 2200 20 A¹ G A- a A number of students were asked for their average grade at the end of the last year of high school, x, and their average grade at the end of their first year at university, y. On calculating the regression line for the resulting data, the result was y=-2.50 +1.04.x. Slideshow b. It is found that the relationship between the height in centimetres, x, and the weight in kilograms, y, of a group of 15-year-old students can be modelled with the regression line y=-70 + 0.87x. c A car salesman wants to study the relationship between the time in years after a particular type of car is bought, x, and the value of the car in US$, y. The regression line is found to be y=-250x + 9000. 。 7 I {
Transcribed Image Text:Unit 6.3 Interpreting the regressi X + resentation/d/1G44xEZKbfMP9N7nRAy31pKPwtk6yR2x-eDlclspS9v4/edit#slide-id.g11787709621_0_12 Applications | RapidIdentity X ssion line 40 edit was made on February 28, 2022 by Phillip Tewers Exercise 61 2 For each of the following scenarios: i Q Search State the value of the gradient of the regression line and interpret its meaning. ii State the value of the y-intercept of the regression line and interpret its meaning if relevant, giving a reason if there is no meaning. a Op M N 2200 20 A¹ G A- a A number of students were asked for their average grade at the end of the last year of high school, x, and their average grade at the end of their first year at university, y. On calculating the regression line for the resulting data, the result was y=-2.50 +1.04.x. Slideshow b. It is found that the relationship between the height in centimetres, x, and the weight in kilograms, y, of a group of 15-year-old students can be modelled with the regression line y=-70 + 0.87x. c A car salesman wants to study the relationship between the time in years after a particular type of car is bought, x, and the value of the car in US$, y. The regression line is found to be y=-250x + 9000. 。 7 I {
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