A frequent flyer was interested in the relationship between dollars spent on flying and the distance flown. She sampled 20 frequent flyers of a certain airline. She collected the number of miles flown in the previous year and the total amount of money the flyer spent. A regression line of distance flown on money spent was fit to the data: \hat y = 24000 + 10xy^=24000+10x. A person who spent $1000 is predicted to have flown:

A frequent flyer was interested in the relationship between dollars spent on flying and the distance flown. She sampled 20 frequent flyers of a certain airline. She collected the number of miles flown in the previous year and the total amount of money the flyer spent. A regression line of distance flown on money spent was fit to the data: \hat y = 24000 + 10xy^=24000+10x. A person who spent $1000 is predicted to have flown:

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.2: Representing Data

Problem 10PPS

See similar textbooks

Similar questions

Does Table 2 represent a linear function? If so, finda linear equation that models the data.
If you travel 100 miles in two hours, then your average speed for the trip is Average speed=_________=________
Use regression statistics from TI84 screen.
Suppose that there is a negative relationship between grade point average and the number of hours spent playing video games for high school boys. What grades would you predict for boys who spend more than the average amount of time playing video games?
Make an analysis about the data gathered.
The relationship between study hours and exam score was estimated as below in a linear format. Exam score = 6.24 * Study hours + 54.72 (The p-value for the coefficient of Study hours is 0.04.) How can the relationship between exam score and study hours be interpreted?
What equation should be used in significance of the value found in scatter diagram of the data?
Could you please graph this table with scatter plot and add regression line. Also could you please share this graph to me with google drive link.
The amount of water discharged by the Davao River has changed over time in roughly a straight-line pattern. A regression line for predicting water discharged (in cubic kilometer) during a given year is predicted discharged = -7792 + (4.226 X year).How much (on average) does the volume of water increase with each passing year?
Describe about the three positive relationships of Scatterplots?
Which equation is the best fit for the data in the table? X Y 3 12 5 27 8 48 11 O y=-.0026x^2+.33x+1.16 O y=1.94x+2.140 O y=1.732vx-1 O y=1.732x-1
L4Q10.A student who waits on tables at a restaurant recorded the cost of meals and the tip left by single diners. Identify the line of best fit for the data.