Mathematics, 23.06.2019 14:30 josh5527
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 0.984. the​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable is modifyingabove y with caret equals negative 0.0066 x plus 43.3954. complete parts ​(a) and ​(b) below. 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 nothing​%. ​(round to one decimal place as​ needed.)
Answers: 1
Mathematics, 21.06.2019 21:30, izabelllreyes
Look at triangle wxy what is the length (in centimeters) of the side wy of the triangle?
Answers: 2
Mathematics, 21.06.2019 23:40, redhot12352
For a science project, a high school research team conducted a survey of local air temperatures. based on the results of the survey, the found that the average temperatures were around 10 degrees higher than expected. this result was wrong. the trouble with the survey was that most of the locations were exposed to direct sunlight and located over asphalt or sand, which resulted in higher temperatures than normal. this is a classic example of an error in which phase of inferential statistics?
Answers: 1
The accompanying data represent the weights of various domestic cars and their gas mileages in the c...
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