Question 1With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month (rounded to the nearestpeso) and degree of customer satisfaction (on a scale of 10 - 100 with a 10 being not at all satisfied and a 100 being extremely satisfied). The researcher only includes programswith comparable types of services. A sample of the data is provided below.PesosSatisfaction5505490087850667507345059250776007095099110095125088a. Compute for the correlation coefficient. Ans =b. Compute for the coefficient of determination. Ans =c. Determine the Regression Equation. y = !d. Using your equation, estimate the satisfaction of the customer if the cost is P1175 per month. Ans =e. Using your equation, estimate the satisfaction of the customer if the cost is P245 per month. Ans =f. At 95% Confidence Level, construct a Confidence and Prediction Interval for your answer in (d).

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Answered: Question 1 With the growth of internet…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a poll, a random sample of 2163 adults (aged 18 and over) was asked, "When you see an ad emphasizing that a product is made in your country, are you more likely to buy it, less likely to buy it, or neither more nor less likely to buy it?" The results of the survey are presented in the accompanying side-by-side bar graph. Complete parts (a) through (d).
1a.calculate the i. mean ii. Mode
C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52
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On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09 State the hypotheses.H0: The observed frequencies in agreement with proportion of people in each age group.Ha: The observed frequencies in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 = Calculate the p-value. Round to 3 decimal places.p-value = State your decision.Since p-value α,…
Part 2 of 2 Construct an ogive for the data. Cumulative Frequency 20 15 10 5 0 69.5 0 109.5 0 College Faculty 149.5 0 189.5 Number of faculty 0 229.5 0 269.5 0 309.5 X ←
3. Correlation and linear regression
Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…
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Q.31 Define deseasonalisation of data.

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