n excel Price Demand 2000 4500 2800 3600 3500 1850 4000 1200 5000 820 Based on the data above estimate the demand function. When you estimate demand curve, please compare the following options and choose the one with highest R square Exponential Linear Power
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in excel
Price Demand
2000 4500
2800 3600
3500 1850
4000 1200
5000 820
Based on the data above estimate the demand function. When you estimate demand curve, please compare the following options and choose the one with highest R square
- Exponential
- Linear
- Power
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- The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Sales Year 1 Year 2 Year 3 Year 4 Year 5 JAN 2,000 3,000 2,000 5,000 5,000 FEB 3,000 4,000 5,000 4,000 2,000 MAR 3,000 3,000 5,000 4,000 3,000 APR 3,000 5,000 3,000 2,000 2,000 MAY 4,000 5,000 4,000 5,000 7,000 JUN 6,000 8,000 6,000 7,000 6,000 JUL 7,000 3,000 7,000 10,000 8,000 AUG 6,000 8,000 10,000 14,000 10,000 SEP 10,000 12,000 15,000 16,000 20,000 OCT 12,000 12,000 15,000 16,000 20,000 NOV 14,000 16,000 18,000 20,000 22,000 DEC 8,000 10,000 8,000 12,000 8,000 Total 78,000 89,000 98,000 115,000 113,000According to the following given information how to determine: Production Times (months) 1 9 10 11 12 13 14 15 product of 970 1,180 1,239 1,293 1,350 1,398 1,410 1,480 1,492 1,500 1,520 1,592 1,605 1,660 1,685 (Z unit) A) Break Even-point or points? B) How is to construct the relationship between entire variables through the simple drawing for all above figures and highlighting of Break Even point the drawing? C) Justify your final answer for each line of production.Graph Input Tool Market for Research Assistants 20 18 I Wage (Dollars per hour) 4 16 Labor Supplied (Number of workers) Supply Labor Demanded 500 14 (Number of workers) 12 Demand Shifter Supply Shifter 10 8 Demand Tax Levied on Employers (Dollars per hour) Tax Levied on Workers (Dollars per hour) 6. 4 40 80 120 160 200 240 280 320 360 400 LABOR (Number of workers) For each of the proposals, use the previous graph to determine the new number of research assistants hired. Then compute the after-tax amount paid by employers (that is, the wage paid to workers plus any taxes collected from the employers) and the after-tax amount earned by research assistants (that is, the wage received by workers minus any taxes collected from the workers). WAGE (Dollars per hour) +.--
- What is logisticOnly typed answer and please don't use chatgpt otherwise I downvote the answer Assume that the relationship between test scores and the student-teacher ratio can be modeled as a linear function with an intercept of 698.9 and a slope of (-2.28). A decrease in the student teacher ratio by 2 will: A) reduce test scores by 2.28 on average B) result in a test score of 698.9 C) reduce test scores by 2.56 on average D) reduce test scores by 4.56 for every school district PLEASE EXPLAIN WHY C IS CORRECT.Please provide homework help with the attached image. Thank you.
- Please answer Ex 2 in this imagewhat is the mathematical way to solving this, i used the slope formula but i dont know if that is the way to get answer.The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 40- 20+ 2000 5000 2855 3050 3810 3985 4250 2275 3525 33 32 27 24 22 39 28 Weight (lb) Q Q O B. 40 20+ 2000 AHH 5000 Weight (lb) Q Q Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage decreases. O C. Yes, as the weight increases the highway mileage increases. OD. No there appears to be no relationshin C O C. Q 40- M Q 20++ 2000 5000 Weight (lb) Highway ( O D. Highway (mpg) 40- 20+ 2000 5000 Weight (lb) Q
