The air conditioning in your car is breaking down, and over the summer it takes longer and longer to cool down. You begin to gather data on randomly chosen days to test how long it takes. In your experience, the outdoor temperature (measured in degrees Fahrenheit) has something to do with the number of minutes it takes for your car to cool down to a comfortable temperature. The graph here shows the data you collected, which you use to create a linear model in R. Coefficients: EstimateStd Errt-valuep-value(Intercept)1.8298.47070.21590.83148temperature0.12560.09351.34320.19591 Residual standard error: 1.7082 on 18 degrees of freedom R-squared: 0.0911, Adjusted R-squared: 0.0406 F-statistic: 1.8041 on 1 and 18 DF, p-value: 0.19591a) What is the equation of the regression line? Use x and y for your variables. How do you interpret the slope of the regression line? What about the intercept? n Course: MATH 120 - Section B - CXM MyOpenMathb My Questions | bartlebyM Verify your email address - sparta+myopenmath.com/assess2/?cid=84713&aid=6064672#/skip/5O 1hr20mins XThe air conditioning in your car is breaking down, and over the summer it takes longer and longer to cooldown. You begin to gather data on randomly chosen days to test how long it takes. In your experience, theoutdoor temperature (measured in degrees Fahrenheit) has something to do with the number of minutes ittakes for your car to cool down to a comfortable temperature. The graph here shows the data youcollected, which you use to create a linear model in R.1716159095Outdoor Temperature (F) QCoefficients:EstimateStd Errt-valuep-value(Intercept)temperature1.8298.47070.21590.831480.12560.09351.34320.19591Residual standard error: 1.7082 on 18 degrees of freedomR-squared: 0.0911, Adjusted R-squared: 0.0406F-statistic: 1.8041 on 1 and 18 DF, p-value: 0.19591a) What is the equation of the regression line? Use x and y for your variables.How do you interpret the slope of the regression line? What about the intercept?Add Werk...Cooling Time (min)

Name: The air conditioning in your car is breaking down, and over the summer
Uploaded: 2024-03-20T06:38:58.000Z
Channel: Bartleby
Description: The air conditioning in your car is breaking down, and over the summer it takes longer and longer to cool down. You begin to gather data on randomly chosen days to test how long it takes. In your experience, the outdoor temperature (measured in degre

In the given case we are forming a relation between the variables - "time taken by the car to cool"…

Answered: The air conditioning in your car is…

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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The air conditioning in your car is breaking down, and over the summer it takes longer and longer to cool down. You begin to gather data on randomly chosen days to test how long it takes. In your experience, the outdoor temperature (measured in degrees Fahrenheit) has something to do with the number of minutes it takes for your car to cool down to a comfortable temperature. The graph here shows the data you collected, which you use to create a linear model in R.

Coefficients:

	Estimate	Std Err	t-value	p-value
(Intercept)	1.829	8.4707	0.2159	0.83148
temperature	0.1256	0.0935	1.3432	0.19591

     Residual standard error: 1.7082 on 18 degrees of freedom
     R-squared: 0.0911, Adjusted R-squared: 0.0406
     F-statistic: 1.8041 on 1 and 18 DF, p-value: 0.19591

a) What is the equation of the regression line? Use x and y for your variables.

How do you interpret the slope of the regression line? What about the intercept?

n Course: MATH 120 - Section B - CX
M MyOpenMath
b My Questions | bartleby
M Verify your email address - sparta
+
myopenmath.com/assess2/?cid=84713&aid=6064672#/skip/5
O 1hr20mins X
The air conditioning in your car is breaking down, and over the summer it takes longer and longer to cool
down. You begin to gather data on randomly chosen days to test how long it takes. In your experience, the
outdoor temperature (measured in degrees Fahrenheit) has something to do with the number of minutes it
takes for your car to cool down to a comfortable temperature. The graph here shows the data you
collected, which you use to create a linear model in R.
17
16
15
90
95
Outdoor Temperature (F) Q
Coefficients:
Estimate
Std Err
t-value
p-value
(Intercept)
temperature
1.829
8.4707
0.2159
0.83148
0.1256
0.0935
1.3432
0.19591
Residual standard error: 1.7082 on 18 degrees of freedom
R-squared: 0.0911, Adjusted R-squared: 0.0406
F-statistic: 1.8041 on 1 and 18 DF, p-value: 0.19591
a) What is the equation of the regression line? Use x and y for your variables.
How do you interpret the slope of the regression line? What about the intercept?
Add Werk
...
Cooling Time (min)

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