A family would like to build a linear regression equation to predict the amount of grain harvested per acre of land on their farm. They subdivide their land into several
smaller plots of land for testing and would like to select an explanatory variable they can control. Which of the following is an appropriate explanatory variable that the
family could use to create a linear regression equation?
A. The total amount of rainfall recorded at their farm
B. The type of crop planted in the plot the previous year
C. The average daily temperature at their farm
D. The variety of grain planted in the plot
E. The amount of fertilizer applied to each plot of land

When 142 is added to a number the result is 64 more then 3 times the number. option 35 37 39 41

Item 1 solve for s. s+24=90 −114 −66 66 114

High school seniors with strong academic records apply to the nation’s most selective colleges in greater numbers each year. because the number of slots remains relatively stable, some colleges reject more early applicants. suppose that for a recent admissions class, an ivy league college received 2851 applications for early admission. of this group, it admitted 1033 students early, rejected 854 outright, and deferred 964 to the regular admission pool for further consideration. in the past, this school has admitted 18% of the deferred early admission applicants during the regular admission process. counting the students admitted early and the students admitted during the regular admission process, the total class size was 2375. let e, r, and d represent the events that a student who applies for early admission is admitted early, rejected outright, or deferred to the regular admissions pool. suppose a student applies for early admission. what is the probability that the student will be admitted for early admission or be deferred and later admitted during the regular admission process?