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2.1 Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 1 2 3 Y (BLOOD) 140 128 125 123 4 8 90 She replicates her study and collects data from 62 students from a rival university. She derives the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals 0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.

2.1 Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 1 2 3 Y (BLOOD) 140 128 125 123 4 8 90 She replicates her study and collects data from 62 students from a rival university. She derives the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals 0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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2.1 Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 1 2 3 Y (BLOOD) 140 128 125 123 4 8 90 She replicates her study and collects data from 62 students from a rival university. She derives the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals 0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.
Transcribed Image Text:2.1 Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 1 2 3 Y (BLOOD) 140 128 125 123 4 8 90 She replicates her study and collects data from 62 students from a rival university. She derives the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals 0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.
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