Hand written plz asap.... I'll give you multiple upvote..... Plz fast Using Holt's method forecasting with alpha=0.4 and beta=0.5, company ABC wouldlike to forecast the sales in period 17.1215161718APeriod (t) Sales12,354148,322151617(a) 9158.64.b) 8979.36Bc) 8421.6d) 8700.48CDLevel (L) Trend (T)Based on the above Excel worksheet (rows 2-14 are hidden), what is the forecast inperiod 17?8142.72 278.88EForecast(F)8023.20

In general, Holt's method (or double exponential smoothing method) uses two parameters, i.e., the…

Answered: Using Holt's method forecasting with…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 27PFA

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Google's stock (GOOG) was tracked for 10 days, showing closing prices of 1,108.35; 1,132.5; 1,145.18; 1,129.33; 1,091.75; 1,102.85; 1,120.13; 1,127.46; 1,130.66; 1,110.45. Calculate the coefficient of variation of the dataset.
10) A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.767 b=31.009 r2=0.609961 r=-0.781 Use this to predict the number of situps a person who watches 7.5 hours of TV can do (to one decimal place)
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10. The BEST company has developed a trend equation which is based on the quarterly sales on its Bluetooth wireless headphone (in $'000) over the past 3 years is: y = 10.2 + 1.6t where t 1 for quarter 1 of year 1 The following table gives the adjusted seasonal index for each quarter. Using the multiplicative model, complete the below table to determine the trend value and forecast for each of the four quarters of the fourth year (correct to 1 decimal place). Year Quarter Trend value (y) Adjusted Forecast (S'000) seasonal index (S'000) -4.6 -2.9 15 34.2 1.8 16 35.8 5.6 రాండ రంరు 装零響券 2. 3. 4. 4.
A logistic regression model was proposed for classifying common brushtail possums into their two regions. The outcome variable took value 1 if the possum was from Victoria and 0 otherwise. Estimate SE Pr(>|Z|) (Intercept) 31.1256 9.7822 3.1819 0.0014 sex_male -1.3917 0.6456 -2.1557 0.0312 -2.2381 skull_width total_length tail_length -0.2782 0.1243 0.0252 0.5529 0.1337 4.1354 -1.8147 0.3636 -4.9909 (a) Write out the form of the model. log_odds(Victoria) =| sex_male skull_width + total_length + tail_length Also identify which of the variables are positively associated when controlling for other variables. O skull_width O sex_male total_length tail_length (b) Suppose we see a brushtail possum at a zoo in the US, and a sign says the possum had been captured in the wild in Australia, but it doesn't say which part of Australia. However, the sign does indicate that the possum is male, its skull is about 64 mm wide, its tail is 40 cm long, and its total length is 85 cm. What is the reduced…
The following equations were estimated using the data in BWGHT: log(bwght) = 4.66 - 0044 cigs + .0093 log(faminc) + .016 parity (.0059) (.22) (.0009) (.006) + .027 male + .055 white (.010) (.013) 1,388, R = .0472 and log(bwght) 4.65 – .0052 cigs + .0110 log(faminc) + .017 parity (.006) (.38) (.0010) (.0085) + .034 male + .045 white – .0030 motheduc + .0032 fatheduc (.011) (.015) (.0030) (.0026) n = 1,191, R2 = .0493. %3D
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The correlation coefficient may assume any value between ?
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