Mekhi is studying the trend of the world's average temperature over time. He collects data about the world's average temperature between the years   and   (a total of   years). Here is computer output from a least-squares regression analysis on his sample (years are counted as number of years since  ):Predictor Coef SE Coef T PConstant     Year       Assume that all conditions for inference have been met.Which of these is a   confidence interval for the slope of the least squares regression line?Choose 1 answer:Choose 1 answer:(Choice A)    A  (Choice B)    B  (Choice C, Checked)    C (Choice D)    D (Choice E)    E Report a problemDo 4 problemsSkipCheck

Interpret the least squares regression line of this data set.The manager of a ski resort in the Alps always worries there won't be enough snow to keep the resort open into the spring. She decided to see if there was a relationship between the temperature in January and the amount of snow in the spring.For several years, she recorded the average temperature in January (in Celsius), x. On March 1, she also measured the depth of the snow at the bottom of a particular ski slope (in centimeters), y.Average temperature (in Celsius) Snow depth (in centimeters)–3 68–1 670 471 573 415 36The least squares regression line for the data set is:y=–4.269x+56.224Use it to complete the following sentence:If the average temperature in January were one degree higher, the least squares regression line predicts there would be fewer centimeters of snow on March 1st.

Question. Confidence Interval for the estimated regression coefficients?Question. Confidence Interval on the mean response?Question. Prediction Interval on a new observation?

Assume the simple regression model holds. If the 95% confidence interval for the slope in an estimated simple regression is the interval (10, 22), then _________. a. the true (population) slope is not zero b. the F statistic of the fitted regression model is less than 4. c. the p-value of the estimated slope is more than 0.05. d. the t statistic for the estimated slope is approximately 2.

Read the following description of a data set.Ariel is an ornithologist who monitors the wintering activity of birds in a forest clearing. She thinks that the number of different species arriving each season is related to the average winter temperature.For several winters, Ariel takes precise measurements to compute the average winter temperature (in Celsius), x. She also counts the total number of bird species, y, that appeared in the clearing.The least squares regression line of this data set is:y=0.403x–0.726If the average winter temperature is 22, what does this line predict for the number of bird species appearing?Round your answer to the nearest integer. bird species

Exercise 3A sales manager collected the following data on “annual sales” (1000 euros) and “years ofexperience” for ten sellers:sales 103 111 119 80 97 123 117 136 92 102years 5.5 7 7 0.5 1.5 11.5 12 14.5 2 3.5(a) Compute mean and variance of “years of experience”.(b) Compute the correlation between the two variables and comment on the result.(c) Identify the least-square regression line.(d) Provide an interpretation for the slope of the least-square regression line.(e) Use the estimated regression equation to predict annual sales for a seller with 9 yearsof experience.