Mathematics, 07.05.2021 16:20 gennhill14
You fitted a regression model on the height of a particular pine tree, after 20 years of growth, as a function of the elevation the tree is growing in a coastal mountain. You found that linear regression was appropriate to study this question i. e., the relationship was linear. The regression model showed that tree height decreased 0.2 meters per meter gained in elevation and that tree height at sea level height (Om elevation) was predicted to be 110 m. The slope of this model was: (use the correct sign) while the intercept was: . The model predicts that a tree growing at an elevation of 25 m should be m tall. While the predicted elevation in the mountain that a 108 m tall tree will be found ism.
Answers: 2
Mathematics, 21.06.2019 19:30, kataldaine
Which of the following describes the symmetry of the graph of y = x3?
Answers: 2
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