Test if β2 is equal to or greater than three at α = 1%. Interpret the answer. A random sample of second-year UWC students was interviewed to obtain information on theirdaily study hours, daily yawning frequency as well as their year mark in Micro II. When theregression is run using the software E-Views, the output is as follows:|MARKS = B₁+ B₂ STUDY + B, YAWNDependent Variable: MARKSIncluded observations: 63VariableCSTUDYYAWNR-squared: 0.6979MARKS:STUDY:YAWN:Parameter29.44553.4829-1.9966Micro II year markDaily study hoursDaily yawning frequencyStd. Error11.34780.75570.3756 Degreesof0.25freedom 0.501.0000.8160.7650.7410.7270.7180.7111234567KUHESHSHESPANHA4829101112131415161718192021222325262729304060120000.7060.7030.7000.6970.6950.6940.6920.6910.6900.6890.6880.6880.6870.6860.6860.6850.6850.6840.6840.6840.6830.6830.6830.6810.6790.6770.674Percentage points of the t-distribution0.100.203.0781.8861.6381.5331.4761.4401.4151.3971.3831.3721.3631.3561.3501.3451.3411.3371.3331.3301.3281.3251.3231.3211.3191.3181.3161.3151.3141.3131.3111.3101.3031.2961.2891.2820.050.106.3142.9202.3532.1322.0151.9431.8951.8601.8331.8121.7961.7821.7711.7611.7531.7461.7401.7341.7291.7251.7211.7171.7141.7111.7081.7061.7031.7011.6991.6971.6841.6711.6581.645t(p.df)Alpha0.0250.010.0500.0212.706 31.8214.3036.9653.1824.5412.7763.7472.5713.3652.4473.1432.3652.9982.8962.8212.7642.7182.6812.6502.6242.6022.5832.5672.5522.5392.5282.5182.5082.3062.2622.2282.2012.1792.1602.1452.1312.1202.1102.1012.0932.0862.0802.0742.0692.0642.0602.0562.0522.0482.0452.0422.0212.0001.9801.9602.5002.4922.4852.4792.4732.4672.4622.4572.4232.3902.3582.3260.0050.01063.6579.9255.8414.6044.0323.7073.4993.3553.2503.1693.1063.0553.0122.9772.9472.9212.8982.8782.8612.8452.8312.8192.8072.7972.7872.7792.7712.7632.7562.7502.7042.6602.6172.5760.0010.002318.31022.3271.2147.1735.8935.2084.7854.5014.2974.1444.0253.9303.8523.7873.7333.6863.6463.6103.5793.5523.5273.5053.4853.4673.4503.4353.4213.4083.3963.3853.3073.2323.1603.090

Dependent variable (y) = Marks There are two independent variables Study (x1) and Yawn (x2). Sample…

Answered: Test if β2 is equal to or greater than…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 138 to 187 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.94 cm, y=81.54 kg, r=0.261, P value=0.009, and y=−102+1.03x. Find the best predicted value of y (weight) given an adult male who is 181 cm tall. Use a 0.10 significance level.
A sample of n = 16 scores produces a t statistic of t = 2.00. If the sample is used to measure effect size with r2, what value will be obtained for r2?
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 133 to 188 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.80 cm, y=81.36 kg, r=0.286, P-value=0.004, and y=−108+1.19x. Find the best predicted value of y (weight) given an adult male who is 138 cm tall. Use a 0.10 significance level.
You run a regression analysis on a bivariate set of data (n=82n=82). You obtain the regression equationy=4.373x+9.596y=4.373x+9.596with a correlation coefficient of r=0.987r=0.987 (which is significant at α=0.01α=0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 60 on the response variable.What is the predicted explanatory value?x = (Report answer accurate to one decimal place.)
A hairdresser wanted to see if her clients bought more products at the end of their appointment if they were given lots of compliments. She decided to test this theory using an experiment. She randomly assigned 24 clients to receive either zero compliments, 5 compliments, or 10 compliments during their appointment. She recorded how many products they purchased after their appointment as her DV. She firstly hypothesised that no-compliment clients (M = 0.38) would purchase fewer products than clients who received 5 compliments (M = 1.50). She secondly hypothesised that 5-compliment clients would purchase fewer products than 10-compliment clients (M = 3.63). Thus, she conducted two comparisons. The initial ANOVA was significant. Using an alpha of .05, results for the follow-up tests confirmed her first hypothesis, with an obtained t value of 2.60, but did not confirm her second hypothesis, with an obtained t value of 1.20. She later realised that she did not use a Bonferroni-corrected…
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 135 to 188 cm and weights of 39 to 150 kg. Let the variable x be the height. The 100 paired measurements yield x=167.08 cm, y=81.32 kg, r=0.254, and y=−109+1.07x. Find the best predicted value of y (weight) given an adult male who is 163 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 163 cm tall is kg. (Round to two decimal places as needed.)
You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly different from 50%. With H1 : p ≠≠ 50% you obtain a test statistic of z=−2.506z=-2.506. Find the p-value accurate to 4 decimal places.
For a hypothesis test of the claim that the mean amount of sleep for adults is less than 6 hours, technology output shows that the hypothesis test has power of 0.4733 of supporting the claim that μ<6 hours of sleep when the actual population mean is 4.0 hours of sleep. Interpret this value of the power, then identify the value of β and interpret that value.
A repeated measures study with n=26 participants produces a mean difference of M D = 3 points, SS=500 for the difference scores, and t=2.50. Calculate Cohen's d and r square (r2) to measure the effect size for this study.
Find the appropriate value of t for 95% CI with n=31.
You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly less than 0.77.With H1 : p << 0.77 you obtain a test statistic of z=−1.477z=-1.477.Find the P-value accurate to 4 decimal places.P-value =
Find the p-value of the test H0 : μ = 100 when Hα : μ > 100 and z = 2.17 .0251 .0150 .0199 .0193

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS