(a) Define the independent variable Period, where Period = 1 corresponds to the data for November 3, Period = 2 corresponds to the data for November 4, Period = 3 corresponds to the data for November 7, and so on. Develop the estimated regression equation that can be used to predict the closing price (in dollars per share) given the value of Period. Use x for Period. (Round your numerical values to two decimal places.) (b) At the 0.05 level of significance, test for any positive autocorrelation in the data. State the null and alternative hypotheses. ⒸH₂: p=0 H₂: p>0 O Ho:p>O H₂: p=0 Hoi p<0 H₂: P = 0 X ⒸH₂: P = 0 Ha: p<0 Find the value of the test statistic. (Round your answer to two decimal places.) x What are the critical values? (Round your answers to two decimal places.) L = du = X X

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.CT: Chapter Test
Problem 16CT: How many six-digit license plates can be made if no plate begins with 0 or 1?
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(a) Define the independent variable Period, where Period = 1 corresponds to the data for November 3, Period = 2 corresponds to the data for November 4, Period = 3 corresponds to the data for
November 7, and so on. Develop the estimated regression equation that can be used to predict the closing price (in dollars per share) given the value of Period. Use x for Period. (Round your
numerical values to two decimal places.)
(b) At the 0.05 level of significance, test for any positive autocorrelation in the data.
State the null and alternative hypotheses.
ⒸH₂: p=0
H₂: p>0
O Ho:p>O
H₂: p=0
Hoi p<0
H₂: P = 0
X
ⒸH₂: P = 0
Ha: p<0
Find the value of the test statistic. (Round your answer to two decimal places.)
x
What are the critical values? (Round your answers to two decimal places.)
L =
du =
X
X
Transcribed Image Text:(a) Define the independent variable Period, where Period = 1 corresponds to the data for November 3, Period = 2 corresponds to the data for November 4, Period = 3 corresponds to the data for November 7, and so on. Develop the estimated regression equation that can be used to predict the closing price (in dollars per share) given the value of Period. Use x for Period. (Round your numerical values to two decimal places.) (b) At the 0.05 level of significance, test for any positive autocorrelation in the data. State the null and alternative hypotheses. ⒸH₂: p=0 H₂: p>0 O Ho:p>O H₂: p=0 Hoi p<0 H₂: P = 0 X ⒸH₂: P = 0 Ha: p<0 Find the value of the test statistic. (Round your answer to two decimal places.) x What are the critical values? (Round your answers to two decimal places.) L = du = X X
Date
Nov. 3
Nov. 4
Nov. 7
Nov. 8
Nov. 9
Nov. 10
Nov. 11
Nov. 14
Nov. 15
Nov. 16
Nov. 17
Nov. 18
Nov. 21
Nov. 22
Nov. 23
Nov. 25
Nov. 28
Nov. 29
Nov. 30
Dec. 1
Price ($)
82.97
83.02
83.58
83.15
82.83
84.05
84.64
84.36
85.48
86.53
86.90
87.68
87.31
87.99
88.86
88.72
89.11
89.11
88.98
89.21
Transcribed Image Text:Date Nov. 3 Nov. 4 Nov. 7 Nov. 8 Nov. 9 Nov. 10 Nov. 11 Nov. 14 Nov. 15 Nov. 16 Nov. 17 Nov. 18 Nov. 21 Nov. 22 Nov. 23 Nov. 25 Nov. 28 Nov. 29 Nov. 30 Dec. 1 Price ($) 82.97 83.02 83.58 83.15 82.83 84.05 84.64 84.36 85.48 86.53 86.90 87.68 87.31 87.99 88.86 88.72 89.11 89.11 88.98 89.21
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