APPLIED GENERAL STATISTICS: THEORY AND METHODS The data is given below: enotaln ods sbulonoso d Class 8. loins 5 9 5 2 Co 4 attendance Academic 51 28 49 60 32 47 40 39 35 42 101 performance Required: Identify the key variables in the study i. Jsdi novioS Classify the variables into dependent and independent ii. State the nature of the variables State the simple linear regression model that can capture the study (Prob abtistíc rodel v. Use the method of the ordinary least squares to estimate the regression coefficients and interpret your iv. result vi. Use the fitted equation to predict the value of the dependent variable when the independent is 30 X vii. State three factors that can be captured by the error term viii. Assess the adequacy of the fittèd regression model using the ANOVA method (Global F-test) assume ɑ = 5% IX. Estimate the standard error of the slope and the inter An Shot on S11 lite 6 1, 3.

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APPLIED GENERAL STATISTICS: THEORY AND METHODS
The data is given below:
Class
3
1.
8.
5
4
5 2
attendance
Academic 51 28 49 60 32 47 40 39 35 42
performance
C.
Required:
i.
Identify the key variables in the study Ydt naviD S
Classify the variables into dependent and independent
State the nature of the variables
iv. State the simple linear regression model that can
capture the study ( prob abitistic prodel )
V. Use the method of the ordinary least squares to
estimate the regression coefficients and interpret your
ii.
ii.
sbbLobusr
result
vi.
Coub
Use the fitted equation to predict the value of the
dependent variable when the independent is 30
vii. State three factors that can be captured by the error term *
viii. Assess the adequacy of the fittèd regression model
using the ANOVA method (Global F-test) assume ɑ =
5%
ix.
Estimate the standard error of the slope and the
Shot on S11 lite
intercent
Gionee Dual Camera
6
Transcribed Image Text:APPLIED GENERAL STATISTICS: THEORY AND METHODS The data is given below: Class 3 1. 8. 5 4 5 2 attendance Academic 51 28 49 60 32 47 40 39 35 42 performance C. Required: i. Identify the key variables in the study Ydt naviD S Classify the variables into dependent and independent State the nature of the variables iv. State the simple linear regression model that can capture the study ( prob abitistic prodel ) V. Use the method of the ordinary least squares to estimate the regression coefficients and interpret your ii. ii. sbbLobusr result vi. Coub Use the fitted equation to predict the value of the dependent variable when the independent is 30 vii. State three factors that can be captured by the error term * viii. Assess the adequacy of the fittèd regression model using the ANOVA method (Global F-test) assume ɑ = 5% ix. Estimate the standard error of the slope and the Shot on S11 lite intercent Gionee Dual Camera 6
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