Find the linear regression equation for an approximate linear model for Gary's recent mountain bike rides. Use the data below. Let d be the ride distance in miles and t be the ride time in hours. time (hours) distance (miles) 20 18 1.1 8.9 16 14 1.14 10.21 1.18 11.11 12 10 1.21 11.55 1.39 11.96 1.43 12.1 1.5 12.98 0.25 0.5 0.75 1.25 15 1.75 a. State the linear equation: y=1.4668 +7.6584x × syntax error. Check your variables - you might be using an incorrect one. Round to the nearest hundredth. b. Interpret the slope: For each additional 1 hour Gary rides, he will travel about 7.66 miles miles further on average. c. Use your linear equation to estimate the distance of a 1.5-hour ride, to the nearest tenth of a mile. 1.5 X miles d. Interpret the correlation coefficient. The correlation coeficient tells us that as time increases, distance also increases. The correlation coeficient tells us that r = 0.897. The correlation coeficient tells us that there is a relatively strong linear relationship and that as time increases, distance also increases.
Find the linear regression equation for an approximate linear model for Gary's recent mountain bike rides. Use the data below. Let d be the ride distance in miles and t be the ride time in hours. time (hours) distance (miles) 20 18 1.1 8.9 16 14 1.14 10.21 1.18 11.11 12 10 1.21 11.55 1.39 11.96 1.43 12.1 1.5 12.98 0.25 0.5 0.75 1.25 15 1.75 a. State the linear equation: y=1.4668 +7.6584x × syntax error. Check your variables - you might be using an incorrect one. Round to the nearest hundredth. b. Interpret the slope: For each additional 1 hour Gary rides, he will travel about 7.66 miles miles further on average. c. Use your linear equation to estimate the distance of a 1.5-hour ride, to the nearest tenth of a mile. 1.5 X miles d. Interpret the correlation coefficient. The correlation coeficient tells us that as time increases, distance also increases. The correlation coeficient tells us that r = 0.897. The correlation coeficient tells us that there is a relatively strong linear relationship and that as time increases, distance also increases.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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Transcribed Image Text:Find the linear regression equation for an approximate linear model for Gary's recent mountain bike rides.
Use the data below. Let d be the ride distance in miles and t be the ride time in hours.
time (hours)
distance (miles)
20+
18
1.1
8.9
16
1.14
10.21
14
1.18
11.11
12
10
1.21
11.55
1.39
11.96
6-
1.43
12.1
4
1.5
12.98
0.25
0.5
0.75
1.25
115
1.75
a. State the linear equation: y =1.4668 + 7.6584x x syntax error. Check your variables - you might
be using an incorrect one.
Round to the nearest hundredth.
b. Interpret the slope:
For each additional 1 hour
Gary rides, he will travel about 7.66 miles
miles
further on average.
c. Use your linear equation to estimate the distance of a 1.5-hour ride, to the nearest tenth of a mile.
1.5
X miles
d. Interpret the correlation coefficient.
O The correlation coeficient tells us that as time increases, distance also increases.
O The correlation coeficient tells us that r = 0.897.
O The correlation coeficient tells us that there is a relatively strong linear relationship and that as
time increases, distance also increases.
The coralation ceoficiont telle ue that there is a ralativelu ctrons Hnerral-tionchin
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