6. Parker, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statis
tics Multiple R 0.8274 R Square 0.8229 Observations 26 Coefficients Standard Error T Stat Intercept 23,859 5,196 3.65 Production (X) 3.13 0.2765 11.19 What total cost would Parker predict for a month in which they sold 3,500 units
There are six numbers and only two ( 2, and 4) are even. The probability of landing on an even number is 2/6 = 1/3, but the probability of landing on an odd number is 4/6 = 2/3.
The sequence of numbers decrease by 6 each time, so we can write: f(1) = 5 f(2) = -1 f(3) = -7 f(1) - f(2) = 6 or: f(2) = f(1) - 6 which means: f(n + 1) = f(n) - 6
