Question 1410 PolntsThe following data are the indexed prices of gold and copper over 9-year perlod. Assume that the Indexed values constitute arandom sample from the population of possible values and that the relationship is linear. The first row is for the gold (x) andthe second row is for the copper (y). (Round your final answer to the nearest hundredths and don't put any spaces)74 6277 67 7371 59 5253sa5658...636568 65 63 65a. What is the regression equation? Blank 1b. Forecast the indexed price of copper when gold (x) is 65. Blank 2Blank 1 Add your answerBlank 2 Add your answer3 PolntsQuestion 15Given: T= 3.141592653589793238462643383.What is the median of the first 12 digits of n? Blank 1Blank 1 Add your answer

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Answered: Question 14 10 Polnts The following…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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An economist was interested in the relation between the disposable income of a family and the amount of money used for food per month. He did a preliminary study on eight randomly selected lower income families. (Each family was of the same size; father, mother and two children). The economist’s data are given in the table below. Food cost (Y) (in hundreds of rand) 55 60 42 40 37 26 39 43 Family disposable income(X) (in hundreds of rand) 30 36 27 20 16 24 19 25 Find the regression linear equation. What is the predicted food cost if the family disposable income is R1800? Find the correlation coefficient & Interpret r. Find the Coefficient of Determination & Interpret the R2.
(Score for Question 2: of 7 points) 2. The data in the table represents the ralnfall (in inches) for two different cities every month. City 1 3.1 4.5 6.3 7.3 4.3 33 2.1 1.1 0.9 0.8 City 2 2.3 2.4 3.3 3.6 3.2 5.2 2.2 2.1 2.0 1.8 (a) Which city had the most spread in their rainfall? Show your work (b) Calculate the IQR for both cities. What is the difference between the IQR for both cities? (c) Which city had the most rainfall? Explain why you chose that city Answer. States) OFocus 100% pased-station us-cli. ational Conters for Environmontal DE hp
Outside Sr # Tempera (Number Sales X(outsid Y(sales) X*2 Y*2 Y=-5 e ture of Air tempera (Degrees Conditio ture) F) ning units sold) 68 3 68 3 4624 204 1.636 72 72 5 5184 25 360 4.883 78 7 3 78 7. 6084 49 546 9.754 81 12 4 81 12 6561 144 972 12.19 84 15 84 15 7056 225 1260 14.62 86 16 6 86 16 7396 256 1376 16.25 89 22 89 22 7921 484 1958 18.68 91 18 91 18 8281 324 1638 20.31 93 19 9 93 19 8649 361 1767 21.93 94 26 10 94 26 8836 676 2444 22.74 836 143 7059 2553 12525 143 sum Y= Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) rds English (U.S.) Text Predictions: On acer
The following table presents the time taken to review articles that were submitted for publication to a particular journal during a recent year. A few articles took longer than 6 months to review; these are omitted from the table. Consider the data to be a population. Time (Months) Number of Articles −00.9 45 −1.01.9 18 −2.02.9 16 −3.03.9 17 −4.04.9 12 −5.05.9 13 (a) Approximate the variance of the times. Round the answer to at least two decimal places. The variance is .(b) Approximate the standard deviation of the times. Round the answer to at least two decimal places.The standard deviation is .
How much would you expect systolic blood pressure to change if a person commits to reducing their cigarette consumption by 1 cigarette per day?
The probability that a trainee will remain with a company is 0.6. the probability that am employee earnsbmore than k10,000 per month is 0.5. the probability that an employee who is a trainee remained with the company or who earns more than k10,000 per month is 0.7. what is the probability that an employee earns more than k10,000 per month given that he is a trainee who stayed with the company
50
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Example3. Calculate Pearson's coefficient of skewness for the following data: X: 2 3 4 6. 7 f:1 3 13 8. 3
QUESTION FOUR The average prices of a Bath & Shower gel, a Body Moisturisers, a Deodorants and a Shaving cream were recorded in both 2011 and 2021 as below. (Prices are in R.) 2011 2021 4.1 4.2 Price (R) Number sold (in millions) Price (R) Number sold (in millions) Bath & Body Shower gel Moisturisers 17 7.5 23.7 8.2 7.3 4.2 12.5 5.1 Deodorants 5.5 12.6 8.7 13.5 Shaving cream 15.8 8.5 22.9 9.5 Find the Laspeyres price and quantity indices for 2021 using a base year of 2011 and interpret your answer Find the Paasche price and quantity indices for 2021 using a base year of 2011 and interpret your answer.
Age is a variable that is important in most if not all epidemiological studies of health because our health is so strongly related to age. The following table is a two-dimensional table that summarizes the distribution of age in a certain population every five years starting with 1970 (the first row) to 2000 (the last row). Each row contains information for one year. Reading across the row (over the column), the table shows the number of individuals in each age group. If you choose this option, please do the following: (a) using the data provided, produce a new two-dimensional table that shows, for each year, the percentage of that year’s total population in each age interval (Tip! In each row, the sum of your percentages should be 100%); and (b) write a brief report (a paragraph or so, no more!) on what these summaries suggest regarding the possibility (or lack thereof) of changes over time in the age distribution of this population. Interval of Age, years…

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