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 83 74 92 50 56 62 67 52 58 61 83 54 80 74 89 53 86 60 53 69 35 57 66 65 86 78 74 84 77 67 65 63 65 95 79 41 59 87 63 71 86 65 82 72 72 69 74 51 84 68 91 56 85 82 91 72 92 65 91 64 69 94 93 56 83 67 80 59 77 59 54 71 97 69 77 85 74 55 78 Construct a 95% confidence interval of the mean pulse rate for adult females. ______bpm<μ<_____bpm (Round to one decimal place as needed.)
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
86 83
74 92
50 56
62 67
52 58
61 83
54 80
74 89
53 86
60 53
69 35
57 66
65 86
78 74
84 77
67 65
63 65
95 79
41 59
87 63
71 86
65 82
72 72
69 74
51 84
68 91
56 85
82 91
72 92
65 91
64 69
94 93
56 83
67 80
59 77
59 54
71 97
69 77
85 74
55 78
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