Problem #2: A sample of McMaster students is selected. The distance X (in km) between a student's place of residence and the time (in minutes) it takes them to get to the university are recorded. The least squares regression line is calculated to be = 2.1+ 1.4x. (a) What is the correct interpretation of the slope? (A) When the distance increases by one km, we predict an increase in time of 2.1 minutes. (B) When the distance increases by 1.4 km, we predict an increase in time of 2.1 minutes. (C) When the distance increases by one km, we predict an increase in time of 1.4 minutes. (D) When the distance increases by 1.4 kms, we predict an increase in time of one minute. (E) When the time increases by 2.1 minutes, we predict an increase in distance of 1.4 kms. (F) When the distance increases by 2.1 km, we predict an increase in time of 1.4 minutes. (G) When the time increases by one minute, we predict an increase in distance of 2.1 kms. (H) When the time increases by one minute, we predict an increase in distance of 1.4 kms. Problem #2(a): Select Part (a) choices. (b) One student lives 4.4 kilometres from the university and takes 8 minutes to get there. What is the corresponding fitted value? Problem #2(b): answer correct to 2 decimals
Problem #2: A sample of McMaster students is selected. The distance X (in km) between a student's place of residence and the time (in minutes) it takes them to get to the university are recorded. The least squares regression line is calculated to be = 2.1+ 1.4x. (a) What is the correct interpretation of the slope? (A) When the distance increases by one km, we predict an increase in time of 2.1 minutes. (B) When the distance increases by 1.4 km, we predict an increase in time of 2.1 minutes. (C) When the distance increases by one km, we predict an increase in time of 1.4 minutes. (D) When the distance increases by 1.4 kms, we predict an increase in time of one minute. (E) When the time increases by 2.1 minutes, we predict an increase in distance of 1.4 kms. (F) When the distance increases by 2.1 km, we predict an increase in time of 1.4 minutes. (G) When the time increases by one minute, we predict an increase in distance of 2.1 kms. (H) When the time increases by one minute, we predict an increase in distance of 1.4 kms. Problem #2(a): Select Part (a) choices. (b) One student lives 4.4 kilometres from the university and takes 8 minutes to get there. What is the corresponding fitted value? Problem #2(b): answer correct to 2 decimals
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Transcribed Image Text:Problem #2: A sample of McMaster students is selected. The distance X (in km) between a student's place of residence and the
time (in minutes) it takes them to get to the university are recorded. The least squares regression line is
calculated to be = 2.1+ 1.4x.
(a) What is the correct interpretation of the slope?
(A) When the distance increases by one km, we predict an increase in time of 2.1 minutes.
(B) When the distance increases by 1.4 km, we predict an increase in time of 2.1 minutes.
(C) When the distance increases by one km, we predict an increase in time of 1.4 minutes.
(D) When the distance increases by 1.4 kms, we predict an increase in time of one minute.
(E) When the time increases by 2.1 minutes, we predict an increase in distance of 1.4 kms.
(F) When the distance increases by 2.1 km, we predict an increase in time of 1.4 minutes.
(G) When the time increases by one minute, we predict an increase in distance of 2.1 kms.
(H) When the time increases by one minute, we predict an increase in distance of 1.4 kms.
Problem #2(a): Select Part (a) choices.
(b) One student lives 4.4 kilometres from the university and takes 8 minutes to get there. What is the
corresponding fitted value?
Problem #2(b):
answer correct to 2 decimals
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