Homework Help is Here – Start Your Trial Now!
Math
Statistics
16. At 95% confidence ( 0.05), determine which variables are significant and which are not. a. Both Shares Sold and NYSE Exchange are significant. b. Both Shares sold and NYSE Exchange are insignificant. Shares sold is significant and NYSE Exchange is insignificant. d. с. Shares sold is insignificant and NYSE Exchange is significant.

16. At 95% confidence ( 0.05), determine which variables are significant and which are not. a. Both Shares Sold and NYSE Exchange are significant. b. Both Shares sold and NYSE Exchange are insignificant. Shares sold is significant and NYSE Exchange is insignificant. d. с. Shares sold is insignificant and NYSE Exchange is significant.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 27PPS
See similar textbooks
icon
Related questions
Question
16. At 95% confidence (a 0.05), determine which variables are significant and which are not. Both Shares Sold and NYSE Exchange are significant. b. a. Both Shares sold and NYSE Exchange are insignificant. Shares sold is significant and NYSE Exchange is insignificant. d. с. Shares sold is insignificant and NYSE Exchange is significant.
Transcribed Image Text:16. At 95% confidence (a 0.05), determine which variables are significant and which are not. Both Shares Sold and NYSE Exchange are significant. b. a. Both Shares sold and NYSE Exchange are insignificant. Shares sold is significant and NYSE Exchange is insignificant. d. с. Shares sold is insignificant and NYSE Exchange is significant.
The prices of Rawlston, Inc. stock (y) over a period of 12 days, the number of shares (in 100s) of company's stocks sold (x1), and the volume of exchange (in millions) on the New York Stock Exchange (x2) are shown below. Day (x1) 950 (x2) (v) 87.50 11.00 2 86.00 945 11.25 3 84.00 940 11.75 11.75 4 83.00 930 5 84.50 935 12.00 6. 84.00 935 13.00 13.25 7 82.00 932 8 80.00 938 14.50 78.50 925 15.00 10 79.00 900 16.50 77.00 77.50 11 875 17.00 12 870 17.50 Excel Analysis Toolpak was used to determine the least-squares regression equation. The computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.949 0.901 Adjusted RS Standard Em Observations 0.879 1.205 12.000 ANOVA df MS 59.424 Significance F SS Regression 2.000 118.847 40.922 0.000 Residual 9.000 13.069 1.452 Total 11.000 131.917 Coefficients Standard Ero 118.506 0.016 33.575 0.031 t Stat 3.530 P-value 0.006 Lower 95% Upper 95% Lower 95.0% Upper 95.0% 194.458 194.458 Intercept (x1) (2) 42.553 42.553 -0.517 0.618 0.088 0.055 0.088 0.055 -1.573 0.359 4.381 0.002 -2.385 -0.761 2.385 -0.761
Transcribed Image Text:The prices of Rawlston, Inc. stock (y) over a period of 12 days, the number of shares (in 100s) of company's stocks sold (x1), and the volume of exchange (in millions) on the New York Stock Exchange (x2) are shown below. Day (x1) 950 (x2) (v) 87.50 11.00 2 86.00 945 11.25 3 84.00 940 11.75 11.75 4 83.00 930 5 84.50 935 12.00 6. 84.00 935 13.00 13.25 7 82.00 932 8 80.00 938 14.50 78.50 925 15.00 10 79.00 900 16.50 77.00 77.50 11 875 17.00 12 870 17.50 Excel Analysis Toolpak was used to determine the least-squares regression equation. The computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.949 0.901 Adjusted RS Standard Em Observations 0.879 1.205 12.000 ANOVA df MS 59.424 Significance F SS Regression 2.000 118.847 40.922 0.000 Residual 9.000 13.069 1.452 Total 11.000 131.917 Coefficients Standard Ero 118.506 0.016 33.575 0.031 t Stat 3.530 P-value 0.006 Lower 95% Upper 95% Lower 95.0% Upper 95.0% 194.458 194.458 Intercept (x1) (2) 42.553 42.553 -0.517 0.618 0.088 0.055 0.088 0.055 -1.573 0.359 4.381 0.002 -2.385 -0.761 2.385 -0.761
Expert Solution
steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer