Mathematics, 25.05.2021 09:20, lolxdtig
A punter for a football team is trying to determine the optimal angle for striking the football off his foot—this is called the launch angle. Using video, his coach records a number of punts kicked using different launch angles and the height in feet for each punt. A regression equation for this relationship is Height hat = 2.31 (angle) minus 39.389.
A graph titled Residuals versus Launch angle has launch angle (Degrees) on the x-axis, and residual on the y-axis. Points decrease, and then curve up.
Based on the residual plot shown, is a linear model appropriate for using launch angle to predict height?
A linear model is appropriate because the residual plot is curved.
A linear model is appropriate because many of the residuals are close to zero.
A linear model is not appropriate because the residual plot shows a clear pattern.
A linear model is not appropriate because the y-intercept of the regression equation is negative.
Answers: 3
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Mathematics, 21.06.2019 20:40, kevin7987
David estimated he had about 20 fish in his pond. a year later, there were about 1.5 times as many fish. the year after that, the number of fish increased by a factor of 1.5 again. the number of fish is modeled by f(x)=20(1.5)^x. create a question you could ask that could be answered only by graphing or using a logarithm.
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