Consider the following time series data.

Month 1 2 3 4 5 6 7

Value 24 13 20 12 19 23 15

a. Construct a time series plot. What type of pattern exists in the data?

b. Develop a three-week moving average for this time series. Compute MSE and a forecast for week 8.

c. Use ? ? 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 8.

d. Compare the three-week moving average forecast with the exponential smoothing forecast using ? ? 0.2. Which appears to provide the better forecast based on MSE?

e. Use trial and error to find a value of the exponential smoothing coefficient that results in a smaller MSE than what you calculated for ? ?0.2.

f . i can go whenever i feel like it bc it is confidential meaning only i would know how much i deposited besides the bank and they wouldnt care bc when you make a deposit you are using their services which means they are using there competition and gaining more customers

and if they dont well then thats less customers for them in a less profitable way

plz mark brainliest

answer: 33 ( approx)

step-by-step explanation:

since, in the linear regression formula, the slope is the a in the equation y = b + ax ( by comparing it with the general equation of line y = mx + c )

where,

here given table is,

price ($), x   :           18         23       25       29       30       33

pairs sold, y :         16         13         10       8         6       2

so, ,   ,   ,

and   ,

thus, slop of the given line is,

⇒  

⇒   ≈ 33

the area of ​​the surface of the rectangular prism here is 250 cm2, which is the surface of the shading

step-by-step explanation:

ending amount = beginning amount / (2^n)

where "n" = number of half-lives (or elapsed time / half-life)

ending amount = 50 mg / (2 ^10 / 5.3)

ending amount = 50 mg / (2 ^ 1.8867924528)

ending amount = 50 m / 3.6981210597

ending amount = 13.5203794557 mg

or about 13.5 mg remain

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