The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete the questions below. LOADING... Click the icon to view the data table. Player Height (inches) Weight (pounds) Player 1 75 223 Player 2 75 195 Player 3 72 180 Player 4 82 231 Player 5 69 185 Player 6 74 190 Player 7 75 228 Player 8 71 200 Player 9 75 230 Determine the least-squares regression line. Test whether there is a linear relation between height and weight at the α=0.05 level of significance. Determine the least-squares regression line. Choose the correct answer below. A. y=4.028x−94.1 B. y=4.028x−92.1 C. y=−92.1x+4.028 D. y=8.028x−92.1 Test whether there is a linear relation between height and weight at the α=0.05 level of significance. State the null and alternative hypotheses. Choose the correct answer below. A. H0: β1=0 H1: β1>0 B. H0: β1=0 H1: β1≠0 C. H0: β0=0 H1: β0≠0 D. H0: β0=0 H1: β0>0 Determine the P-value for this hypothesis test. P-value=nothing (Round to three decimal places as needed.) State the appropriate conclusion at the α=0.05 level of significance. Choose the correct answer below. A. Reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players. B. Do not reject H0. There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players. C. Reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players. D. Do not reject H0. There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

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 data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete the questions below.

Click the icon to view the data table.

Player	Height (inches)	Weight (pounds)
Player 1	75	223
Player 2	75	195
Player 3	72	180
Player 4	82	231
Player 5	69	185
Player 6	74	190
Player 7	75	228
Player 8	71	200
Player 9	75	230

Determine the least-squares regression line. Test whether there is a linear relation between height and weight at the

α=0.05

level of significance.

Determine the least-squares regression line. Choose the correct answer below.

y=4.028x−94.1

y=4.028x−92.1

y=−92.1x+4.028

y=8.028x−92.1

Test whether there is a linear relation between height and weight at the

α=0.05

level of significance.

State the null and alternative hypotheses. Choose the correct answer below.

H0:

β1=0

H1:

β1>0

H0:

β1=0

H1:

β1≠0

H0:

β0=0

H1:

β0≠0

H0:

β0=0

H1:

β0>0

Determine the P-value for this hypothesis test.

P-value=nothing

(Round to three decimal places as needed.)

State the appropriate conclusion at the

α=0.05

level of significance. Choose the correct answer below.

Reject

H0.

There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

Do not reject

H0.

There is sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

Reject

H0.

There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

Do not reject

H0.

There is not sufficient evidence to conclude that a linear relation exists between the height and weight of baseball players.

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