A personality researcher is interested in finding out if the trait of sensation seeking (SS)can be used to predict the frequency of marijuana use (MJ). Here are the data (higherscores indicate more of the trait or more frequent MJ use; both are interval/ratio levelvariables):ZsMJZMJ160.4980.4191.34101.45150.217-0.09150.210.4314-0.076-0.60150.2180.4313-0.35-1.1112-0.645-1.114-2.903-2.14150.2180.43160.490.94170.780.94Mss = 14.25 SDSS = 3.54MMJ = 7.17 SD = 1.95What type of analysis would be appropriate in this case? Use a = .05 for all decisions.Then determine what the value of MJ would be if SS = 20. No explanation is required -just report the predicted value of Ias your final answer.9.

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Answered: A personality researcher is interested…

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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Find the va'ue of mean , mode and median from the data given helow: Weight (in kg.) No. of students 93 -97 98 -102 103–107 108-112 113-117 118 --122 123 127 128- 132 3 5 12 17 14 3
A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. What is the central tendency for the variable perseverance among teenage girls? What is the most common value for the variable perseverance among teenage girls? How spread out are the values for perseverance amoung teenage girls? Do all teenage girls have the same amount of perseverance?
You are given the following data, where X1X1 (final percentage in math class) and X2X2 (number of absences) are used to predict YY (standardized math test score in fifth grade): YY X1X1 X2X2 375 88 3 480 98 0 310 61 5 450 89 1 345 70 3 410 72 1 465 92 2 350 70 3 370 75 4 390 80 1 420 80 2 350 78 3 415 95 2 Determine the following multiple regression values.Report intercept and slopes for regression equation accurate to 3 decimal places: Intercept: a= Partial slope X1X1: b1= Partial slope X2X2: b2= Report sum of squares accurate to 3 decimal places: SSreg= SSTotal= Test the significance of the overall regression model (report F-ratio accurate to 3 decimal places and P-value accurate to 4 decimal places): F-ratio = P-value = Report the variance of the residuals accurate to 3 decimal places: MSres= Report the results for the hypothesis test for the significance of the partial slope for number of absences…

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