The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands). Find a linear function that approximates the number of products sold as a function of the cost of advertising. Select the most appropriate answer. cost = 9 2 3 4 2 5 9 10 and number 85 52 55 68 57 86 83 73

Options :

(A.) y=558-273x (B.) y=264+142x (C.) y = 55.8 +2.79x (D.) y= -26.4-1.42x

C.) ŷ = 2.79X + 55.8

Step-by-step explanation:

Given the data:

cost (x): 9 2 3 4 2 5 9 10

Number of products sold: 85 52 55 68 57 86 83 73

Using the online regression calculator to generate a linear regression plot of the given data: the model obtained is given below

ŷ = 2.79X + 55.8

With y being the predicted or dependent variable

Slope or gradient of the line = 2.79

X = the independent variable

55.8 = the intercept.

the answer is c.

for continuous functions, they continue in the same pattern and you have to find that pattern kinda like slope

i need a picure

step-by-step explanation: