1) The data set "Advertising" contains TV, radio, newspaper (respectively TV, Radio, Newspaper advertising budget in $1000) and sales (product sales in the number of units) in n=200 different market. The variable y is sales and x is TV from the "Advertising" data set. Use the R code to load the data set and create a plot of x and y. Advertising <- read.csv ("Advertising.csv", header=TRUE) head (Advertising) ## X TV radio newspaper sales ## 1 1 230.1 37.8 69.2 22.1 ## 2 2 44.5 39.3 45.1 10.4 69.3 9.3 ## 3 3 17.2 45.9 ## 4 4 151.5 41.3 58.5 18.5 ## 5 5 180.8 10.8 58.4 12.9 ## 6 6 8.7 48.9 75.0 7.2
1) The data set "Advertising" contains TV, radio, newspaper (respectively TV, Radio, Newspaper advertising budget in $1000) and sales (product sales in the number of units) in n=200 different market. The variable y is sales and x is TV from the "Advertising" data set. Use the R code to load the data set and create a plot of x and y. Advertising <- read.csv ("Advertising.csv", header=TRUE) head (Advertising) ## X TV radio newspaper sales ## 1 1 230.1 37.8 69.2 22.1 ## 2 2 44.5 39.3 45.1 10.4 69.3 9.3 ## 3 3 17.2 45.9 ## 4 4 151.5 41.3 58.5 18.5 ## 5 5 180.8 10.8 58.4 12.9 ## 6 6 8.7 48.9 75.0 7.2
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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Please complete the following question with handwritten working
Transcribed Image Text:Q1.
1)
The data set "Advertising" contains TV, radio, newspaper (respectively TV, Radio, Newspaper
advertising budget in $1000) and sales (product sales in the number of units) in n=200 different
market. The variable y is sales and x is TV from the "Advertising" data set. Use the R code to load
the data set and create a plot of x and y.
Advertising <- read.csv ("Advertising.csv", header=TRUE)
head (Advertising)
## X TV radio newspaper sales
## 1 1 230.1 37.8
69.2 22.1
## 2 2
39.3
45.1 10.4
44.5
## 3 3 17.2 45.9
69.3 9.3
## 4 4 151.5
58.5 18.5
41.3
## 5 5 180.8 10.8
58.4 12.9
## 6 6 8.7 48.9
75.0 7.2
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