Linear Regression Our dataset contains the following variables: Year: the year of the Olympic Games, from 1896 to 2000. Time: the winning time for the 1,500 meter race, in seconds. First, let's explore the relationship between the two quantitative variables—year and time. Produce a scatterplot and use it to verify that year and time are nearly linear in their relationship. Here's a reminder of how to do this in Excel: Select all of the data in columns A and B, and then select the Insert tab and choose Scatter in the Charts group next to the Recommended Charts button. Choose the first scatterplot option (Scatter with only Markers). Now we have a scatterplot, but the data is all towards the top of the plot. To fix this: Right-click on the Y axis, and choose Format Axis from the bottom of the pop-up menu. In the Format Axis window make sure that Axis Options button is selected, find the Minimum option and enter 200 in the textbox. Click the X button to close the menu window.
Linear Regression Our dataset contains the following variables: Year: the year of the Olympic Games, from 1896 to 2000. Time: the winning time for the 1,500 meter race, in seconds. First, let's explore the relationship between the two quantitative variables—year and time. Produce a scatterplot and use it to verify that year and time are nearly linear in their relationship. Here's a reminder of how to do this in Excel: Select all of the data in columns A and B, and then select the Insert tab and choose Scatter in the Charts group next to the Recommended Charts button. Choose the first scatterplot option (Scatter with only Markers). Now we have a scatterplot, but the data is all towards the top of the plot. To fix this: Right-click on the Y axis, and choose Format Axis from the bottom of the pop-up menu. In the Format Axis window make sure that Axis Options button is selected, find the Minimum option and enter 200 in the textbox. Click the X button to close the menu window.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Linear Regression
Our dataset contains the following variables:
Year: the year of the Olympic Games, from 1896 to 2000.
Time: the winning time for the 1,500 meter race, in seconds.
First, let's explore the relationship between the two quantitative variables—year and time. Produce a scatterplot and use it to verify that year and time are nearly linear in their relationship.
Here's a reminder of how to do this in Excel:
- Select all of the data in columns A and B, and then select the Insert tab and choose Scatter in the Charts group next to the Recommended Charts button.
- Choose the first scatterplot option (Scatter with only Markers).
- Now we have a scatterplot, but the data is all towards the top of the plot. To fix this:
- Right-click on the Y axis, and choose Format Axis from the bottom of the pop-up menu.
- In the Format Axis window make sure that Axis Options button is selected, find the Minimum option and enter 200 in the textbox. Click the X button to close the menu window.
![Year
1896
1900
1904
1908
1912
1920
1924
1928
1932
1936
1948
1952
1956
1960
1964
1968
1972
1976
1980
1984
1988
1992
1996
2000
Time
273.2
246
245.4
243.4
236.8
241.8
233.6
233.2
231.2
227.8
229.8
225.1
221.2
215.6
218.1
214.9
216.3
219.2
218.4
212.53
215.96
220.12
215.78
212.32](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc0df2326-c735-4e1b-ae2a-9c0c3c1c71e6%2F5823d96b-e162-473b-a413-fe33f1e068ce%2Fdybynk_processed.png&w=3840&q=75)
Transcribed Image Text:Year
1896
1900
1904
1908
1912
1920
1924
1928
1932
1936
1948
1952
1956
1960
1964
1968
1972
1976
1980
1984
1988
1992
1996
2000
Time
273.2
246
245.4
243.4
236.8
241.8
233.6
233.2
231.2
227.8
229.8
225.1
221.2
215.6
218.1
214.9
216.3
219.2
218.4
212.53
215.96
220.12
215.78
212.32
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