Part II. Television Ads The following data was collected in past years to try to determine how the number of TV ads affect candle sales. Plot the points and use technology to find the linear regression line that best fits the data. Graph the line of best fit along with the data points. You may either include a graph produced with technology or carefully graph the points and the line of best fit by hand below. Number of TV ads 0 5 2 6 4 3 5 3 2 4 3 5 1 2 6 Increase in Candle sales 0 725 250 900 450 400 750 600 350 575 450 700 150 325 950 sales Increase in candle 100 200 300 400 500 600 700 800 900 1000 0 0 1 2 3 4 5 6 7 8 9 10 Number of TV Ads 1. Write the equation for the regression line. Round constants to the nearest whole number. 2. Does the linear model fit the data well?

Part II. Television Ads The following data was collected in past years to try to determine how the number of TV ads affect candle sales. Plot the points and use technology to find the linear regression line that best fits the data. Graph the line of best fit along with the data points. You may either include a graph produced with technology or carefully graph the points and the line of best fit by hand below. Number of TV ads 0 5 2 6 4 3 5 3 2 4 3 5 1 2 6 Increase in Candle sales 0 725 250 900 450 400 750 600 350 575 450 700 150 325 950 sales Increase in candle 100 200 300 400 500 600 700 800 900 1000 0 0 1 2 3 4 5 6 7 8 9 10 Number of TV Ads 1. Write the equation for the regression line. Round constants to the nearest whole number. 2. Does the linear model fit the data well?

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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Question

I need some help with some of the practice questions I've been given for a math class in college. I just need some help solving so I can practice for my next exam

Part II. Television Ads
The following data was collected in past years to try to determine how the number of TV
ads affect candle sales. Plot the points and use technology to find the linear regression
line that best fits the data. Graph the line of best fit along with the data points. You
may either include a graph produced with technology or carefully graph the points and
the line of best fit by hand below.
Number
of TV
ads
0
5
2
6
4
3
5
3
2
4
3
5
1
2
6
Increase in
Candle sales
0
725
250
900
450
400
750
600
350
575
450
700
150
325
950
sales
Increase in candle
0 100 200 300 400 500 600 700 800 900 1000
0 1
2
2. Does the linear model fit the data well?
3
4
5
Number of TV Ads
6
7
1. Write the equation for the regression line. Round constants to the nearest
whole number.
8
9
10

3. What is the slope of the line?
how each TV ad affects sales?
What does the slope tell you about
For every TV ad, candle sales increased by about

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Step 3: Write the regression equation.

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