An LCBO employee compares the relationship between the price of 6 different vintagebottles of wine, and the number of those bottles that have been purchased in the last3 months to see if there is a correlation between the number of bottles purchased andthe price of the bottle.Number of Bottles ofWine Purchased in the Price of Wine Bottle ($)Last 3 month441893658256256015302040 i. Determine the equation of the line of best fit.ŷE+=xRound answers to 3 significant digits.=ii. Calculate the Total Variation (SST), Explained Variation (SSR), and UnexplainedVariation (SSE).SST =SSR=SSE =Round answers to 2 decimal places.iii. Based on your results from part (ii), calculate the coefficient of determination (R²).R²=

Given data is No.of wine bottles purchased in a last 3 month(x) Price of wine bottle($) 44 25…

Answered: An LCBO employee compares the…

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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Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
Joselyn hopes to receive a grade of B or better in her statistics class. Currently she has scored 75, 83, and 81 on her three in-class tests and also has a homework average of 88. Her professor calculates the class grade by finding the mean of five grades: three in-class tests, the homework average and the final exam. What is the minimum score Joselyn must earn on the final exam to have a class grade (mean) of 80? A. 67 B. 95 C. 70 D. 73
A high school has 44 players on the football team. The summary of the players' weights is given in the box plot. Approximately, what is the percentage of players weighing greater than or equal to 234 pounds? 166 203 234 154 256 - 0o 150 160 170 180 | 190 200 210 220 230 240 250 260 270 00 Weight (in pounds)
Here are the fuel efficiencies (in mpg) of 15 new cars. 49, 35, 17, 21, 27, 23, 45, 50, 39, 51, 41, 47, 25, 14, 29 What is the percentage of these cars with a fuel efficiency less than 40 mpg?
dear sir mam how do u create a steam and leaf data plot
ences in your response. Investigation 2: Songs from Spotify - Mode and Popularity A random sample of 3439 songs was selected from the Spotify database and twelve variables were measured for each song. Remember, the Mode variable indicates the type of scale the song's melodic content is derived from (Major or Minor). Popularity is on a scale of 0 to 100 and songs with higher numbers are more popular. Let us now investigate whether Major songs are significantly more "Popular" than Minor songs. Let us define "Popular" as songs that earned a popularity rating of 50 or higher. From the random sample of songs, there were 1964 Major songs and of those 853 were rated "Popular." In addition, there were 1475 Minor songs and of those 587 were rated "Popular." In this invesligation we will subtract (Major - Minor). a) Define the population parameter using context and symbols in one complete sentence. b) State the hypotheses using the claim. c) Check the specific conditions necessary to consider…
Correlation does not imply causation. What does this mean? Find an example in the media that needs to understand this concept and explain it to your peers. Be sure to include the link to the example you are using.
Summarize the effect different kinds of outliers can have on a data set in terms of how we interpret whether we have a good model or not.
The following statistics represent weekly salaries at a construction company. Mean $620 First quartile $485 Median $540 Third quartile $600 Mode $535 94th percentile $683 The most common salary is $ The salary that half the employees' salaries surpass is $ The percent of employees' salaries that surpassed $600 is The percent of employees' salaries that were less than $485 is %. The percent of employees' salaries that surpassed $683 is %. If the company has 100 employees, the total weekly salary of all employees is $ %.
The graph below is an ogive of scores on a math test. The vertical axis in an ogive is the cumulative relative frequency and can also be interpreted as a percentile. Use the graph to approximate the test score that corresponds to the 30th percentile. O A. 9 ОВ. 4 Percentile Ranks of Math Test Scores ОС. 56 100- 90- O D. 50 80- 70- 60- 50- 40- 30- 20- 10- 0- -> O 10 20 30 40 50 60 70 80 90 100 Test Socore (96) Click to select your answer. Percentile
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