Annual limousine production for the selected years is given in the table below. (A) Let x represent time (in years) since 1980, and let y represent the corresponding production of limousines. Enter the data in a graphing calculator and find a cubic regression equation for the data. (B) Let L(x) denote the regression equation found in part (A) with coefficients rounded to the nearest hundredth. Find L(13) and L'(13). (C) Interpret L(17) and L'(17) in this context. Limousines Year Produced 1980 2200 1985 7000 1990 4100 1995 3400 2000 5800 (A) L(X) =| (Use integers or decimals rounded to the nearest hundredth for any numbers in the equation.) (B) L(13) (Type an integer or decimal rounded to the nearest hundred as needed.) L'(13) (C) Interpret L(17) 3200 in the context of the problem. O A. In 1997 the number of limousines produced was increasing by 3200 per year. B. The number of limousines produced in 1997 was 3200. C. The number of limousines produced 17 years from now will be 3200. Click to select your answer(s).
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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