57 SD AL HI 72 MA NM 39 62 45 AK 38 ID MI NY TN 42 36 57 63 AZ IL MN NC TX 44 45 62 54 50 MS AR IN ND UT 39 50 43 45 34 CA 61 CO IA KS MO OH VT VA WA 58 WV 43 54 49 52 68 MT OK OR 53 54 42 47 34 CT KY NE 61 41 42 57 DE LA NV PA 62 40 55 55 FL ME 58 NH RI WI 56 51 54 63 MD 62 NJ 57 SC WY 33 GA 47 45
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 Exercise 1.51. Listed here is the percentage of the popular vote received by President Obama in each of the 50 states:
Please see the attachment for details:
a. By just looking at the table, what shape do you think the data distribution for the percentage of the popular vote by state will have?
b. Draw a relative frequency histogram to describe the distribution. Describe the shape of the distribution and look for outliers. Did the graph confirm your answer to part a?
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