CarWeight (lbs) Miles per Gallon3,765Car 119Car 23,96417Car 33,47021Car 43,17522Car 52,58027Car 63,73018Car 72,60526Car 83,772173,310Car 920Car 102,99125Car 112,75226An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying datarepresent the weights of various domestic cars and their gas mileages in the city for a certain model year.Suppose that we add Car 12 to the original data. Car 12 weighs 3 comma 3053,305 pounds and gets1919 miles per gallona) Compute the linear correlation coefficient with Car 12 included.The linear correlation coefficient with Car 12 included is r-?(Round to three decimal places as needed.)b) Recompute the linear correlation coefficient with Car 13 included. How did this new value affect yourresult?The linear correlation coefficient with Car 13 included is r-?t) Why does this observation not follow the pattern of the data?

Enter the data as shown in excel

Answered: Car Weight (lbs) Miles per Gallon 3,765…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

ANSWER C AND D ONLY
Find the measures of dispersion and interpret the results
Normal text Calibri BIUA 10 2 |II 3 I. 4 1) Freeze Inc. is an air conditioning company located in Lakeland, Florida. They collected data for the number of air conditioning units sold in the Central Florida area and for the outside temperature on the day that sales took place. The Sales Manager put the following table together: Outside Temperature Sales (Degrees F) (Number of air conditioning units sold). 68 4 72 78 8 81 10 84 14 86 15 89 21 91 20 93 22 94 25 Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) Guidance: graph should look like the one presented in Figure 4.2 of textbook. Graph plotted by MS Excel, as a result of the Regression function will not be accepted. a) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning…
You are interested in the relationship between gender and violent victimization. You have the data below: Victimization No Yes Total Gender b. Interpret Lambda. Male 150 50 200 Female 190 10 200 Total 340 60 400 a. Calculate Lambda. If needed, take a picture of your work and insert directly into the workspace.
What's the equation for this question in Excel?
I want know how to solve this. Help me
Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer Variables: STATE – US State/District CIG – Number of cigarettes smoked/sold (hds per capita) BLAD – Number of deaths per 100k people in the population from bladder cancer LUNG – Number of deaths per 100k people in the population from lung cancer KID – Number of deaths per 100k people in the population from kidney cancer LEUK – Number of deaths per 100k people in the population from leukemia Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
How would you answer this?
I need help with part b in attached image, please. Thanks.
Measured values of a variable X and of a variable Z are set out below. Variable X: 20 25 30 35 40 45 50 55 60 Variable Z: 120 125 130 135 140 145 150 155 160 Which set of values has the greatest dispersion?
An existing urban freeway with 4 lanes in each direction has the following characteristics. Traffic data: Peak hour volume (in the peak direction): Trucks: PHF = 0.92 Geometric data: Lane width: Shoulder width: Total ramp density: Terrain: rolling 11 ft 6 ft 1.8 ramps per mile 7,210 veh/h 10% of peak hour volume Determine the LOS in the peak hour. (Assume commuter traffic and assume no RVs.) O LOS A O LOS B O LOS C O LOS D O LOS E O LOS F Show the demand flow rate (in pc/h/In), mean speed (in mi/h), and density (in pc/mi/In) for the given conditions. demand flow rate mean speed density pc/h/In mi/h pc/mi/In

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS