(a) Determine an estimated regression equation that can be used to predict the overal score given the score for Shore Excursions. (Round your numerical values to two decimal places. Let x, represent the Shore Excursions score and y represent the overall score.) 08.75 24 (b) Consider the addition of the independent variable Food/Dining. Develop the estimated regression equation that can be used to predict the overall score given the scores for Shore Excursions and Food/Dining. (Round your numerical values to two decimal places. Let x, represent the Shore Excursions score, x, represent the Food/Dining score, and y represent the overall score.) - 44.45 + 258ax, + 2498x, (c) Predict the overall score for a cruise ship with a Shore Excursions score of 79 and a Food/Dining Score of 94. (Round your answer to one decimal place.) 88 442
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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