Construct a 95% confidence interval of the mean pulse rate for adult females. Construct a 95% confidence interval of the mean pulse rate for adult males. Compare the results.
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 95% confidence
Males Females
83 82
72 93
49 55
63 66
51 54
63 84
51 80
78 83
52 86
60 57
71 34
61 69
65 82
76 75
81 75
67 63
64 64
96 80
40 61
84 62
71 82
62 83
72 69
70 74
53 87
65 89
57 87
80 87
70 87
62 94
65 65
94 89
56 84
66 83
60 76
60 54
70 98
71 76
85 75
59 75
Construct a 95% confidence interval of the mean pulse rate for adult females.
Construct a 95% confidence interval of the mean pulse rate for adult males.
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