Question

1.

The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1088 835 1239 1075 1212 917 Temperature (°F) 80.9 73.4 88.5 87.3 91.4 77.7 What is the regression equation? y = 39.97 + 0.0407 x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? 1°F. The best predicted temperature when a bug is chirping at 3000 chirps per minute is (Round to one decimal place as needed.)

2.

Answer 1

Answer:-

0 if a 3 ŷ Hake = 39.97 +0.0407 8 x 0 bug is chirping at the rate of 2000 ciie xa good Chirpe per minutes ŷ 2_39:39 + 0-0407(3001) Ý : 16201 temperature is 16211|0F to test, HO: Ps=o Vis Hipsto test Statistice Ys? -0.339 degree of freedom - number of pair of date =) predicted e giren 11 da 0.01 by using spearmon (eiticed rolice table Yst 4.55 we get Here rol & rst so we fail to reject Mo conclusions by normal standards, the association between quality and cast would not be considered statistically Significant these we don't get better quality paint by' paying more

Thanks dear student