The following table shows the average petrol price and the number of online shopping orders over...

1.57 1,398

4.8225 4,109

2.2725 2,257

3.42 2,644

3.2225 3,257

4.3175 3,530

1.3275 1,791

3.68 3,859

4.3025 3,544

2.065 2,173

The relationship between the average petrol price and the number of online shopping orders in a given month is proposed to follow the simple regression equation below: show variables y^ = b0 + b1x Calculate the percentage of variability in the number of online shopping orders that is not explained by the average petrol price. Give your answer as a percentage to 1 decimal place. Percentage = %

Solutions

Expert Solution

SST=Syy=		77,94,661.60
SSE =Syy-(Sxy)²/Sxx=		883947.7229
SSR =(Sxy)²/Sxx =		69,10,713.88

percentage of variability in the number of online shopping orders that is not explained by the average petrol price

=(SSE/SST)*100 =11.3%

orchestra answered 1 year ago

Next > < Previous

Related Solutions

The following table shows the average petrol price and the number of online shopping orders over...

The following table shows the average petrol price and the number of online shopping orders over a given month: Petrol Price and Online Shopping Average Petrol Price per gallon over a month ($) Number of Online Shopping Orders 3.8025 3,860 4.975 4,172 1.525 1,389 3.81 3,766 1.515 2,072 4.0275 3,286 4.7075 3,840 4.8725 4,688 1.7425 1,795 1.3225 1,539 The relationship between the average petrol price and the number of online shopping orders in a given month is proposed to follow...

The table below shows the price of petrol for a week. Day Monday Tuesday Wednesday Thursday...

The table below shows the price of petrol for a week. Day Monday Tuesday Wednesday Thursday Friday Saturday Sunday Price of Petrol (per Liter) 1.57 1.85 1.86 1.94 1.49 1.66 1.69 a) Using a 4-day Moving Average to forecast the petrol price on Saturday, and calculate the forecast error. b) Given the exponential smoothing constant ? = 0.3, the petrol price on Saturday, and the forecast petrol price on Saturday (from (a)), forecast the petrol price on Sunday by using...

Q1: The following table shows average income of buyers, the price of good G, the price...

Q1: The following table shows average income of buyers, the price of good G, the price of good H, the quantity demanded (QD) of good G and the quantity demanded (QD) of good H for 5 periods. Use the information in the table to answer the following questions. Do not round your answers early because your final results will be less accurate. Period Average Income Price of Good G Price of Good H QD of Good G QD of Good...

The following table shows the average stock price, in dollars, of XYZ Corporation in the given...

The following table shows the average stock price, in dollars, of XYZ Corporation in the given month. Month Stock price January 2011 $43.73 February 2011 $44.23 March 2011 $44.42 April 2011 $45.21 May 2011 $45.92 (a) Find the equation of the regression line. (Let P be the stock price in dollars and t the time in months since January, 2011. Round the regression coefficients to three decimal places.) P(t) =

The remaining problems will refer to the following table, which shows the average price of one...

The remaining problems will refer to the following table, which shows the average price of one gallon of gas in the United States over the past few weeks. (Data from ycharts.com/indicators/us gas price) Date March 2 March 9 March 16 March 23 March 30 Price per gallon $2.514 $2.468 $2.343 $2.217 $2.103 Let f(t) be the price of one gallon of gas t days after February 29. (So, for example, the table shows that f(9) = 2.468.) Estimate f′(30). Use...

The following table shows the average retail price of butter and the Consumer Price Index from 1980 to 2010

The following table shows the average retail price of butter and the Consumer Price Index from 1980 to 2010, scaled so that the CPI 100 in 1980. 1980199020002010CPI100158.56208.98218.06Retail price of butter(salted, grade AA, per lb.)$1.88$1.99$2.52$2.88a. Calculate the real price of butter in 1980 dollars. Has the real price increased/decreased/ stayed the same from 1980 to 2000? From 1980 to 2010? b. What is the percentage change in the real price (1980 dollars) from 1980 to 2000? From 1980 to 2010? c. Convert the...

Over the last five semesters the following table shows the number of students who received each...

Over the last five semesters the following table shows the number of students who received each grade for two 9:00 AM English classes taught by different professors. Use Excel: Relative Frequency. Grade Professor 1 Professor 2 A 56 37 B 78 83 C 73 89 D 29 25 F 11 13 Total 247 247 You are most likely to pass with a grade of C or higher from [ Select ] ["either professor", "Professor 1", "Professor 2"] and/or more...

The following table is used for a number of questions below. The table above shows the...

The following table is used for a number of questions below. The table above shows the responses of a survey of teenagers aged 14-18 when asked at what age they thought they would become financially independent. Age of Financial Independence Number of Responses 16-20 191 21-24 467 25-27 244 28 or older 42 What do the teens expect is the probability of being financially independent before age 25? A recent Gallup poll found that only 14 percent of 24- to...

The following table shows the weights (in pounds) and the number of hours slept in a...

The following table shows the weights (in pounds) and the number of hours slept in a day by a random sample of infants. Test the claim that Mnot equals≠0. Use alphaαequals=0.10.1. Then interpret the results in the context of the problem. If convenient, use technology to solve the problem. Weight, x 8.28.2 10.110.1 9.99.9 7.17.1 6.96.9 11.111.1 10.910.9 15.115.1 Hours slept, y 14.814.8 14.714.7 14.114.1 14.214.2 13.913.9 13.213.2 13.813.8 12.412.4 1. Identify the null and alternative hypotheses. 2. Calculate the...

Table 1 below shows the number of lawn mowers sold by Mangi Enterprises over a period...

Table 1 below shows the number of lawn mowers sold by Mangi Enterprises over a period of three years. Table 1: Sales Data of Lawn Mowers Jan Feb March April May June July Aug Sept Oct Nov Dec 20016 238 220 195 245 345 380 270 220 280 120 110 85 2017 135 145 185 219 240 420 520 410 380 320 290 240 2018 205 230 340 370 395 505 540 500 402 360 310 280 REQUIRED: Based on...

Subjects