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: -8+2t 4

A: Question is based on linear equations solving.

Q: S ds J V3s? + 1

A: To evaluate the given integral

Q: 64y2+7=32

A: 64y2+7=32

Q: Use the graph to solve the equation: x + 5 = 0.5(x + 3)² - 2 Answer

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Q: b- 4b+4 0

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Q: 2 +,

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Q: him (3x+X

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Q: w2-3w-5=0

A:

Q: 4y-12=0

A: 4y = 12 y = 3

Q: 2. K 5x+5 16 35

A:

Q: -12+(4• 3) (-) I 2-14 - 3)ENTER

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Q: -3w+5=23

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Q: (-12)+7

A: To simplify any expression involving numbers we need to use the BODMAS rule which specifies the…

Q: 4 w-355 4<W

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Q: 15+c=-12

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Q: -4d = -64

A: Given  -4d=-64

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A: -1+n=15

Q: Find fre dz |2e*dx

A:

Q: w2+7w+12=0

A: w2+7w+12=0 Solve by factoring

Q: 2: Find: L-1[: 1 3 - 3]

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Q: 16+3•5

A: Given:  16+3*5

Q: カメ Z

A: Find value of  2+2x4

Q: Q7 help me

A:

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 .

Q: a1 13x +36% D

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Q: 1. (3, x) 2. (3x + 3, y) 3. (y, cos x) 4. (x + y, x – Y)

A: using online vector field graphing we get 1-A 2-C

Q: -3(4x-5)-6=18

A: Given: −34x−5−6=18 To determine: The value of x.

Q: -4c +2 ≥10

A: The given inequality is: -4c+2≥10

Q: 7+5+4r

A: Given,          7+5+4r

Q: 3=-6+r

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Q: (-3b)(-4)

A: To evaluate(-3b)(-4)

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.