Answer:
(A) For each additional hundred dollars spent on advertising, sales are predicted to increase by $2,380.
Step-by-step explanation:
Regression isa statistical equation, denoting relationship between independent (causal) variable(s) & dependent (effected) variable.
y = a <u>+</u> bx
where y = dependent variable, x = dependent variable, a (intercept) = autonomous value of y, b (slope) = change in y due to change in x
Regression equation of independent variable (x) as advertising expenditure & dependent variable (y) sales : y = 24.45 + 2.38x
Sales are in thousands of dollars, advertising expenditure is in hundreds of dollars. So, the interpretations are :
- Intercept interpretation : When there is zero advertising expenditure, sales are 24.45 thousands i.e $24450
- Slope Interpretation :<u> When advertisement expenditure change (rise) by 1 hundred, sales change (rise) by 2.38 thousand i.e</u><u> </u><u>$2380</u>
Answer:
48
Step-by-step explanation:
x=48
Answer:
Manny bought 3 pounds that were not on sale
Step-by-step explanation:
If 75 % were on sale, (100% -75% = 25%) then 25% were not on sale (The total has to be 100%)
Manny bought 12 pounds of vegetables
To determine how many pounds were not on sale, we take the amount of vegetables purchased and multiply by the percent that were not on sale.
12 * 25%
Change this to decimal form
12 *.25
3
Manny bought 3 pounds that were not on sale