Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results Males Females 86 71 79 81 73 61 94 83 52 71 58 68 62 71 65 75 51 52 54 87 62 64 83 89 55 58 77 88 78 83 89 90 49 73 89 90 63 63 54 95 74 67 37 67 60 98 68 87 61 56 84 84 80 64 78 82 79 57 79 72 67 61 63 54 67 68 66 103 96 67 80 72 40 81 60 77 88 58 61 73
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Refer to the accompanying data set and construct a
confidence
|
Males
|
Females
|
|
||
|---|---|---|---|---|
|
86
|
71
|
79
|
81
|
|
|
73
|
61
|
94
|
83
|
|
|
52
|
71
|
58
|
68
|
|
|
62
|
71
|
65
|
75
|
|
|
51
|
52
|
54
|
87
|
|
|
62
|
64
|
83
|
89
|
|
|
55
|
58
|
77
|
88
|
|
|
78
|
83
|
89
|
90
|
|
|
49
|
73
|
89
|
90
|
|
|
63
|
63
|
54
|
95
|
|
|
74
|
67
|
37
|
67
|
|
|
60
|
98
|
68
|
87
|
|
|
61
|
56
|
84
|
84
|
|
|
80
|
64
|
78
|
82
|
|
|
79
|
57
|
79
|
72
|
|
|
67
|
61
|
63
|
54
|
|
|
67
|
68
|
66
|
103
|
|
|
96
|
67
|
80
|
72
|
|
|
40
|
81
|
60
|
77
|
|
|
88
|
58
|
61
|
73
|
|
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