Use a smoothing constant ALPHA = 0.8 and calculate the forecasted value and smoothing value
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Use a smoothing constant ALPHA = 0.8 and calculate the forecasted value and smoothing value
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- Can the average rate of change of a function be constant?Find the degrees of freedom in a regression model with an intercept term that has 88 observations and 7 explanatory variables.A study of the mail survey response rate patterns of people aged 60-90 found a prediction equation of = 90.2-0.6xrelating x = age (in years) and y = percentage of people who responded to the survey. Using the linear prediction equation, find the predicted response rate for a (i) 60-year-old and (ii) 90-year-old. The predicted response rate for 60-year-old: The predicted response rate for 90-year-old:
- The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) imported by a country, for the last seven years. Construc and interpret a 90% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,542 thousand barrels per day. The equation of the regression line is y = - 1.248x + 16,547.218. Oil produced, x Oil imported, y 5,759 9,307 5,724 9,146 5.642 9,611 5,482 10,011 5,199 10,185 5,092 10,116 5,052 10,088 2 Construct and interpret a 90% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,542 thousand barrels per day. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) O A. There is a 90% chance that the predicted amount of oil imported is between and thousand barrels…Calculate two lines of regression and calculate a linear regression equation to model the data given below: years (1980,1985,1990,1995,2000) Enrolment ( 21,25,29,39,47)The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) imported by a country, for the last seven years. Construct and interpret a 90% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,603 thousand barrels per day. The equation of the regression line is Oil produced,x Oil imported, y -1117x+ 15,844.101. 5,158 5,093 5,008 10,026 5,822 5.724 5,651 5,449 9,328 9,131 9,667 10,088 10,145 10,199 Construct and interpret a 90% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,603 thousand barrels per day Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. There is a 90% chance that the predicted amount of oil imported is between thousand barreis, when there are…
- Assume we have data demonstrating a strong linear link between the amount of fertilizer applied to certain plants and their yield. Which is the independent variable in this research question?Company Legal Name ASX Code ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORG ORG ORG ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORG QEarnings 1 Date 2 2019/4/1 3 2019/4/2 4 2019/4/3 5 2019/4/4 6 2019/4/5 7 2019/4/8 8 2019/4/9 9 2019/4/10 10 2019/4/11 11 2019/4/12 12 2019/4/15 13 2019/4/16 14 2019/4/17 15 2019/4/18 16 2019/4/23 17 2019/4/24 18 2019/4/26 19 2019/4/29 20 2019/4/30 21 2019/5/1 22 2019/5/2 2019/5/3 23 24 2019/5/6 25 2019/5/7 26 2019/5/8 27 2019/5/9 28 2019/5/10 29 2019/5/13 30 2019/5/14 31 2019/5/15 32 2019/5/16 33 2019/5/17 34 2019/5/20 2019/5/21 35 36 2019/5/22 37 2019/5/23 38 2019/5/24 39 40 2019/5/27 2019/5/28 41 2019/5/29 42 2019/5/30 1 Date…Compute the least-squares regression line for predicting U.S. emissions from non-U.S. emissions. Round the slope and y-intercept values to four decimal places.
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