ASK YOUR TEACHER man (1994) reports that for professional golfers, a regression equation relating x = putting distance (in feet) and y = success rate (in percent) based on observations of distances ranging from 5 feet to 15 feet is expressed with the following formula. Success rate = 76.5 - 3.95(Distance) (a)What percentage of success would you expect for these professional golfers if the putting distance was 5 feet? (Round your answer to the nearest whole number.) % (b) Explain what the slope of -3.95 means in terms of how success changes with distance. O The slope of -3.95 shows when the distance is increased by a foot, the success rate increases by about one percent, on average. O The slope of -3.95 shows when the distance is increased by a foot, the success rate decreases by about 3.95%, on average. O The slope of -3.95 shows when the distance is increased by a foot, the success rate increases by about 3.95%, on average. O The slope of -3.95 shows when the distance is increased by a foot, the success rate decreases by about 76.5%, on average. O The slope of -3.95 shows when the distance is increased by a foot, the success rate decreases by one percent, on average.
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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