Mathematics, 10.05.2020 08:57 freddhendrickss
The 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 car and its miles per gallon in the city is requalsnegative 0.992. The least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable is Modifying Above y with caret equals negative 0.0073 x plus 45.2243. Complete parts (a) through (c) below. Click the icon to view the data table.
1. What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per gallon?
2. The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallon is %. (Round to one decimal place as needed.)
3. Interpret the coefficient of determination. % of the variance in is by the linear model.
Answers: 2
Mathematics, 21.06.2019 14:30, stupidjew5496
Two rigid transformations are used to map abc to qrs. the first is a translation of vertex b to vertex r. what is the second transformation? a reflection across the line containing ab a rotation about point b a reflection across the line containing cb a rotation about point c
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Mathematics, 21.06.2019 16:40, carson5238
Tcan be concluded that % of the seniors would prefer to see more candid pictures in this year's edition of the yearbook.
Answers: 1
The accompanying data represent the weights of various domestic cars and their gas mileages in the c...
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