Consider the regression ln yi = β0 + β1xi + i . (a) how would you derive the formulas to estimate β0 and β1? [note: no need to derive the formulas] (b) suppose you estimated βˆ 0 = 0, βˆ 1 = 1. suppose the standar error of βˆ 0 is 1 and the standard error of βˆ 1 is 2. how would you go about computing the standard error of the prediction of y at x = 1?

Use the frequency distribution, which shows the number of american voters (in millions) according to age, to find the probability that a voter chosen at random is in the 18 to 20 years old age range. ages frequency 18 to 20 5.9 21 to 24 7.7 25 to 34 20.4 35 to 44 25.1 45 to 64 54.4 65 and over 27.7 the probability that a voter chosen at random is in the 18 to 20 years old age range is nothing. (round to three decimal places as needed.)

Someone this asap for a group of students attends a basketball game. * the group buys x hot dogs at the concession stand for $2 each. * the group buys y drinks at the concession stand for $3 each. the group buys 29 items at the concession stand for a total of $70. how many hot dogs did the group buy?

Change negative exponents to positive, then solve