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For the following exercises, consider this scenario: The population of a city increased steadily over a ten-year span. Thefollowing ordered pairs shows the population (in hundreds) and the year over the ten-year span, (population, year) forspecific recorded years:
Use linear regression to determine a
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College Algebra By Openstax
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- Sarah was calculating the speeds (mph) of vehicles travelling down Maple Street on two separate days at 9 am for an hour. Below is the data she collected. Wednesday's Speeds: 34,28,24,17,39,44,64,33,27,21,38,40,60,30,25,37,30,25,35,30 Sunday's Speeds: 18,27,34,37,49,55,63,61,48,30,27,17,17,15,26,46,25 1. Create a frequency table for each day. Make sure you look at both days when setting the intervals for your frequency table. Remember that you need to use common intervals for both days to tally the frequency. Wednesday's Frequency Table Speed Interval (mph) Sunday's Frequency Table Speed Interval (mph) Tally Tally Frequency Frequency 2. Create a histogram with appropriate labels for each day using the frequency tables you created in #1. 3. What do you notice about the two histograms? Consider the following questions: Are there any patterns in the speed distribution? Does one day look worse than the other?arrow_forwardThe flu shot for a flu season is created from four strains of the flu virus, named Strain A, B, C, and D, respectively. Medical researchers use the following data to determine the effectiveness of the vaccine over the flu season. Table 1 shows the effectiveness of the vaccine against each of these strains individually. The graph below the table shows the prevalence of each of these strains during each month of the flu season, represented as a percentage of the overall cases of flu that month. Table 1 Strain Effectiveness A 35% B 13% 76% 68% 35 30 20 15 10 Oct Nov Dec Jan Feb Mar Time (months) Flu Prevalance (% of all cases} Aarrow_forwardJohn was calculating the peeds (mph) of vehicles traveling down Maple Street on two separate days at 9 am for an hour. Below is the data she collected. Wednesday's speeds: 32,28,24,17,39,44,64,33,27,21,38,40,60,30,25,37,30,25,35,30 Sunday's speeds: 18,27,34,37,49,55,63,61,48,30,27,17,17,15,26,46,25 1. Calculate the mean and median of each day. 2. Calculate the five-number summary of each day. a. Wednesday's Five-Number Summary. b. Sunday's Five-Number Summary. 3. Test each day for outliers. If they have outliers, identify them and adjust the five-number summary to reflect the outlier. (Remember to find IQR and then Upper and Lower Limits) a. Wednesday's Outlier Test b. Sunday's Outlier Test 4. Create a stacked box-and-whisker plot using the five-number summaries from Wednesday and Sunday. 5. What do you notice about the box-and-whisker plots? Describe the spread in each specifically.arrow_forward
- The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)arrow_forwardData: 3.5, 3.2, 3.1, 3.5, 3.6, 3.2, 3.4, 2.9, 4.1, 2.6, 3.3, 3.5, 3.9, 3.8, 3.7, 3.4, 3.6, 3.5, 3.5, 3.7, 3.6, 3.8, 3.2, 3.4, 4.2, 3.6, 3.1, 2.9, 2.5, 3.5, 3.1, 3.2, 3.7, 3.8, 3.4, 3.6, 3.5, 3.2, 3.6, 3.8 Sketch a histogram with ranges of 0.1, from minimum (2.5) to maximum (4.2) values. Then sketch a histogram with ranges of 0.3. You can include the relative frequency scales on the same sketches.arrow_forwardAn Internet advertising agency is studying the number of "hits" on a certain web site during an advertising campaign. It is hoped that as the campaign progresses, the number of hits on the web site will also increase in a predictable way from one day to the next. For 10 days of the campaign, the number of hits × 105 is shown. Original Time Series Day 1 2 3 4 5 6 7 8 9 10 Hits × 105 1.2 3.5 4.4 7.3 6.7 8.1 9.0 11.2 13.1 14.8 (a) To construct a serial correlation, we use data pairs (x, y) where x = original data and y = original data shifted ahead by one time period. Construct the data set (x, y) for serial correlation by filling in the following table. x 1.2 3.5 4.4 7.3 6.7 8.1 9.0 11.2 13.1 y (b) For the (x, y) data set of part (a), compute the equation of the sample least-squares line ŷ = a + bx. (Use 4 decimal places.) a b If the number of hits was 9.3 (× 105) one day, what do you predict for the number of hits the next…arrow_forward
- Sarah was calculating the speeds (mph) of vehicles travelling down Maple Street on two separate days at 9 am for an hour. Below is the data she collected. Wednesday's Speeds: Sunday's Speeds: 34,28,24,17,39,44,64,33,27,21,38,40,60,30,25,37,30,25,35,30 18,27,34,37,49.55,63,61,48,30,27,17,17,15,26,46,25 4) Find the Standard Deviation of each day. Wednesday's Standard Deviation Table X x (x-)²2 n-l Sunday's Standard Deviation Table 7 (x-2)² n-1 2). Sketch Wednesday's Bell Curve with 30 Sketch Sunday's Bell Curve with 30 (x-7)²= x-F (x-7) 2 3. Based on your analysis of the data and standard deviations, which day would you say is the most dangerous day on Maple Street?arrow_forwardThe diversity index, from 0 to 100, measures the chance that two randomly selected people are a different race or ethnicity. The diversity index in the United States varies widely from region to region, from as high as 81 in Hawaii to as low as 11 in Vermont. The bar graph shows the national diversity index for the United States for four years in the period from 1980 through 2010.The data in the graph can be modeled by the formulaD = 0.005x2 + 0.55x + 34,where D is the national diversity index in the United States x years after 1980. According to the formula, what was the U.S. diversity index in 2010? How does this compare with the index displayed by the bar graph?arrow_forwardA researcher wants to know how long it takes, on average, for a certain species of bacteria to divide. She watches 17 cells through a microscope and times how long it takes them to divide. She obtains the following data, in hours:8.1, 7, 7.4, 7.4, 6.6, 7.3, 7.5, 7, 7.7, 6.9, 7.9, 6.7, 6.7, 6.9, 7.5, 7.1, 7.3Assuming the population standard deviation is σ=0.4, construct a 89% confidence interval for the average time it takes this species of bacteria to divide.xˉ=α2=zα2=Margin of Error: E=We are 89% confident that this species of bacteria takes, on average, between ___hours and ___hours to divide.arrow_forward
- Page of 11 ZOOM + 5. The table shows how the cost of a carne asada taco at my favorite taco stand has increased as they have become more popular since their opening in 2013. Use the data to answer the questions below. Year, x 2013, 0 2014, 1 2015, 2 2016, 3 2017, 4 2018, 5 2019,6 Cost ($) 0.50 0.55 0.65 0.75 0.90 1.00 1.10 (a) What is the regression line given by your TI-84 for this data? Round values to 3 decimal places. (b) Using the regression equation above, predict the cost of a carne asada taco at my favorite taco stand in 2020. Show the work.arrow_forwardWalter is a sales manager for a chain of car dealerships. He encourages the managers at each store to spend as much time on the sales floor as they can. He is curious if this has any effect on the number of cars sold. Each manager reports the number of hours per day he or she spends on the sales floor. From this, Walter creates the scatterplot below showing sales and time on the floor. What information can Walter infer from the scatterplot? Select all that apply. 10 9 8 1 1 3 4 7 Average Hours on Sales Floor O There is a positive correlation between hours on the sales floor and sales. O There is no correlation between hours on the sales floor and sales. O There is a negative correlation between hours on the sales floor and sales. O Walter should require all managers to spend more hours on the sales floor. O Walter should make no changes to policies regarding hours on the sales floor for managers. O Walter should help managers who spend little time on the sales floor find ways to spend…arrow_forwardHelp me fast so that I will give Upvote.arrow_forward
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