Suppose that you are given a data set which predicts the price of coffee based on loss of forest in indonesia. software tells us that the least-squares slope from 10 different observations is b = 0.549 with standard error seb = 0.096. use 2 decimal places.
1. what is the t statistic for testing h0: β = 0?
2. how many degrees of freedom does t have?
use a t-table to approximate the p-value of t against the one-sided alternative ha: ? > 0. what do you conclude? (select one)
we have no evidence (p > 0.05) that the population slope ? is positive.
we have overwhelming evidence (p < 0.001) that the population slope ? is positive.
we have slight evidence (0.05 < p < 0.1) that the population slope ? is positive.
we have strong evidence (0.005 < p < 0.01) that the population slope ? is positive.

2 liters for 10   people

step-by-step explanation:

the answer to this is:

factor 2x2+16x+24

2x2+16x+24

=2(x+2)(x+6)

answer:

2(x+2)(x+6)

hope this hmu if needed

the answer is $4.45. i started by figuring out the cost of the plates and napkins. the easiest way to figure this cost out is through the tax. we know the way they found the tax is by multiplying the cost of non-food items by the tax rate (5% or 0.5). so, all we have to do to find the cost before tax is set up an equation and work this formula backwards. the equation is 0.19=0.05x where x is the cost of the plates and napkins. now all you do is divide both sides by 0.05 to come up with 3.8=x. now that we know the cost of the plates and napkins is $3.80, all we have to do is subtract this cost from the total cost of $8.25 giving us the cost of the watermelon which is $4.45.