The formula for using monthly advertising expenditure to predict monthly sales revenue for a certain company is Y' = 1.81X + 5843 (all values in dollars). This indicates that the company is wasting money on advertising 5843 is spent on advertising each month each dollar spent on advertising increases revenue by $1.81 spending 5843 dollar on advertising increases sales by a factor of 2. If the value of the Standard Error of the Estimate is 6.9, it means that for each increase of 1 unit in X, the Y value is expected to increase by 6.9 units the Y variable is expected to have a value of 6.9 when the X value is 6.9 percent of the variability in Y is explained by the relationship with X about 68 percent of the predicted Y values will fall within 6.9 units on either side of the regression line

Q: V-539 7. V11

A: To Determine:  Simplify

Q: -5 • -1/7 • 4/8

A: Refer to the we have to find the product of the -5 • -1/7 • 4/8

Q: -12+(4• 3) (-) I 2-14 - 3)ENTER

A:

Q: Todt 5(-37+4)

A: Given,   ∫  -3t+410dt

Q: 2x=axz

A: Given equation is 2x=axz

Q: -3w+5=23

A:

Q: (-2/3)(-6)+(-1 1/3)

A: Consider −23−6+−113

Q: 15+c=-12

A:

Q: -4d = -64

A: Given  -4d=-64

Q: -5 -2 1

A:

Q: -5,4y+14-2y=4

A: Given ,  4y + 14 - 2y = 4     ....... (1)  We have to find value of y  (1) implies

Q: Whats #10

A: 10)

Q: S A+ AMQ for M.

A: NOTE: Refresh your page if you can't see any equations. .

Q: Find

A: We know that,                         ∫1xdx=lnx+ c We need to find  ∫4xdx

Q: 2+36=38

A: Given 2+ 36 = 38  Yes the given statement is true .

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.