he accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a and its miles per gallon in the city is r= -0.979. The least-squares regression line treating weight as the explanatory variable and miles per gallon as the response rariable is y = -0.0072x+ 45.1805. Complete parts (a) through (c). A Click the icon to view the data table. a) What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per gallon? The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallon is needed.) %. (Round to one decimal place a

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.