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

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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?
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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.)
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