For problems 10B and 10C refer to the following table.
The paired values represent the weights (carats) and prices (dollars) of randomly selected diamonds.
Weight | 0.2 | 0.4 | 0.5 | 0.6 | 0.9 | 0.7 | 0.8 |
Price | 610 | 1354 | 1343 | 1752 | 5605 | 2277 | 2600 |
10B) Compute the least squares regression line for the predicted price for a given weight.
a. y = 5743.8x + 1144.1 b. y = -5743.8x - 1144.1 c. y = -5743.8x + 1144.1 d. y = 5743.8x - 1144.1
10C) Calculate the correlation coefficient between the two variables.
a. 0.7518 | c. 0.6671 | |||
b. 0.8495 | d. -0.8671 |
10B)
option D is correct
10C)
correlation coefficient r= | Sxy/(√Sxx*Syy) = | 0.8495 |
option B is correct
For problems 10B and 10C refer to the following table. The paired values represent the weights...