(2) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. O State the hypotheses to be tested: Hạ: Н: Calculate: state the degrees of freedom for this test (i) the p-value for this test, given that the chi-square test statistic, 7", is 11.029. (iv) state the conclusion for the test. Give reason for your answer. b) Finally, the researcher is interested in examining the regression model for knowledge, attitude and practices towards the COFLU-20. The following model was developed to forecast individual practices towards COFLU-20 using knowledge and attitude scores. P= a + B K + Õ A where P = Practice towards COFLU-20 score K= Knowledge towards COFLU-20 score A = Attitude towards COFLU-20 score The data are processed using MINITAB and the output in Exhibit 1 below was obtained: Exhibit 1 The regression equation is ******A * SE 0.462 Predictor Coef t-ratio 4.755 0.8 0.024 Constant 10.282 0.041 0.695 Knowledge 0.039 2.055 Attitude 0.6 0.393 R-sq = 81.5% Analysis of Variance SOURCE DF MS Regression 38.06 19.03 2.284 0.104 Error 297 2474.887 8.333 Total 299 2512.947 ) Identify the dependent variable(s) and the independent variable(). E) Is ő significant? Show proof of the testing process used to arzive at your decision. State what this means in terms of attitude and practices. i What does the value of R-sq indicate? Comment on the value of R-sq.
(2) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. O State the hypotheses to be tested: Hạ: Н: Calculate: state the degrees of freedom for this test (i) the p-value for this test, given that the chi-square test statistic, 7", is 11.029. (iv) state the conclusion for the test. Give reason for your answer. b) Finally, the researcher is interested in examining the regression model for knowledge, attitude and practices towards the COFLU-20. The following model was developed to forecast individual practices towards COFLU-20 using knowledge and attitude scores. P= a + B K + Õ A where P = Practice towards COFLU-20 score K= Knowledge towards COFLU-20 score A = Attitude towards COFLU-20 score The data are processed using MINITAB and the output in Exhibit 1 below was obtained: Exhibit 1 The regression equation is ******A * SE 0.462 Predictor Coef t-ratio 4.755 0.8 0.024 Constant 10.282 0.041 0.695 Knowledge 0.039 2.055 Attitude 0.6 0.393 R-sq = 81.5% Analysis of Variance SOURCE DF MS Regression 38.06 19.03 2.284 0.104 Error 297 2474.887 8.333 Total 299 2512.947 ) Identify the dependent variable(s) and the independent variable(). E) Is ő significant? Show proof of the testing process used to arzive at your decision. State what this means in terms of attitude and practices. i What does the value of R-sq indicate? Comment on the value of R-sq.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 13PT
Related questions
Question
Transcribed Image Text:(2) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As
such, he is interested in investigating the association between the age of the respondents and their
knowledge level. Table 2 below shows the knowledge level of respondents, by age group.
Table 2
Age Group
Knowledge Level
Total
Poor
Satisfactory
Good
18 - 25
33
16
13
62
26 - 34
30
18
12
35 - 44
29
14
12
55
45 - 54
36
16
18
70
55 - 75
17
14
22
53
Total
145
78
77
300
Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient
evidence to conclude that an association exists between age group and knowledge level.
O State the hypotheses to be tested:
Hạ:
Н:
Calculate:
state the degrees of freedom for this test
(i) the p-value for this test, given that the chi-square test statistic, 7", is 11.029.
(iv) state the conclusion for the test. Give reason for your answer.
Transcribed Image Text:b) Finally, the researcher is interested in examining the regression model for knowledge, attitude
and practices towards the COFLU-20. The following model was developed to forecast
individual practices towards COFLU-20 using knowledge and attitude scores.
P= a + B K + Õ A
where P = Practice towards COFLU-20 score
K= Knowledge towards COFLU-20 score
A = Attitude towards COFLU-20 score
The data are processed using MINITAB and the output in Exhibit 1 below was obtained:
Exhibit 1
The regression equation is ******A *
SE
0.462
Predictor
Coef
t-ratio
4.755
0.8
0.024
Constant
10.282
0.041
0.695
Knowledge
0.039
2.055
Attitude
0.6
0.393
R-sq = 81.5%
Analysis of Variance
SOURCE
DF
MS
Regression
38.06
19.03
2.284
0.104
Error
297
2474.887
8.333
Total
299
2512.947
) Identify the dependent variable(s) and the independent variable().
E) Is ő significant?
Show proof of the testing process used to arzive at your decision.
State what this means in terms of attitude and practices.
i What does the value of R-sq indicate? Comment on the value of R-sq.
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