Runs and Wins in Baseball Major League Baseball is split into two leagues, the National League (NL) and the American League (AL). The main difference between the two leagues is that pitchers take at bats in the National League but not in the American League. Two of the variables in the BaseballHits dataset are the number of wins and the number of runs scored during the season. The dataset consists of values for each variable from all 30 MLB teams. From these data we calculate the regression line: Wins^=34.85+0.070(Runs). Click here for the dataset associated with this question. (a) Which is the response variable in this regression line? Wins Runs (b) Interpret the slope in context. The expected change in number of wins given one more run. The expected change in number of runs given one more win. The expected number of wins given one run. The expected number of runs given one win. (c) The San Francisco Giants won 88 games while scoring 665 runs in 2014. Predict the number of games won by San Francisco using the regression line. Round your answer to one decimal place. Wins^=Enter your answer in accordance to item (c) of the question statement Calculate the residual. Round your answer to one decimal place. residual = Enter your answer in accordance to item (c) of the question statement Were the Giants efficient at winning games with 665 runs? Choose the answer from the menu in accordance to item (c) of the question statement
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.
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