In the following data, x is the average number of hours the student spent working on math each week and y is the final grade in a math class. hours/week Grade y 57.6 4 5 61 8 63.2 10 72 10 64 11 82.4 14 76.6 15 93 16 92.4 19 99.6 The line of best fit is y = 2.93 · x + 43.4. What is the predicted value for the final grade when a student spends an average of 6 hours each week on math? Grade = Round to 1 decimal place.

In the following data, x is the average number of hours the student spent working on math each week and y is the final grade in a math class. hours/week Grade y 57.6 4 5 61 8 63.2 10 72 10 64 11 82.4 14 76.6 15 93 16 92.4 19 99.6 The line of best fit is y = 2.93 · x + 43.4. What is the predicted value for the final grade when a student spends an average of 6 hours each week on math? Grade = Round to 1 decimal place.

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

See similar textbooks

Similar questions

The owner of Showtime Movie Theaters, Inc., would lke to predict weekly gross revenue as a function of advertising expenditures Historical data for a sample of eight wecks follow Weekly Gross Revenue ($1,000s) Television Advertising ($1,000s) Newspaper Advertising ($1,000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 The owner then used multiple regression analysis to predict gross revenue (y), in thousands of dollars, as a function of television advertising (x), in thousands of dolars, and newspaper advertising (x,), in thousands of dollars. The estimated regression equation was = 83.2 + 2.29x, + 1.30x. (a) What is the gross revenue (in dollars) expected for a week when $5,000 is spent on television advertising (x5) and $1,500 is spent on newspaper advertising (, 1.5)? (Round your answer to the nearest dollar.) $06600 (b) Provide a 95% confidence interval (in dolars) for the mean revenue of all weeks with the expenditures listed in part (a).…
L4Q2.Which one of the following scatter plots best describes the given data?
Use this data which give the dosage levels for a particular drug and the heart rate measured 30 minutes after taking the drug. Dose (mg) Heart rate 0.125 95 0.20 90 0.25 93 0.30 92 0.35 88 0.40 80 0.50 82 Create a scatter plot. Use your Ti-84
Test Score 7. A history teacher asked her students how many hours of sleep they had the night before a test. The data below shows the number of hours the student slept and their score on the exam. Plot the data on a scatter plot. Hours Slept 5 7 4 9 Test Score 83 86 74 88 76 63 90 60 89 81 90 85 80 75 70 65 60 1 2 3 4 5 6 7 8 9 10 11 # of Hours Slept
Which graph shows the line of best fit for the data?
The scatter plot shows the number of hours worked and money spent on entertainment by each of 24 students. Also shown is the line of best fit for the data. Fill in the blanks below. 70 65 60 55. Amount of 50 × 45 money spent on entertainment 40+ (in dollars) 35. × × 30 25 20 15. × 10+ 5-x 0 6 8 10 12 14 16 18 20 22 Number of hours worked (a) For these 24 students, as the number of hours increases, the amount of money spent tends to (Choose one) (b) For these 24 students, there is (Choose one) money spent. correlation between the number of hours worked and the amount of (c) Using the line of best fit, we would predict that a student working 8 hours would spend approximately (Choose one) ▼ ك ?
The ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 55.12) (2000, 53.03) (1988, 54.13) (2004, 53.04) (1992, 53.84) (2008, 52.32) (1996, 53.70) (2012, 52.20) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let t = 84 represent 1984. (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y = (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y = (d) Compare the linear model you found in part (b) with the linear model you found in part (c). The models are not similar.The models are similar.
Make box and whisker plot of average temperature of California in June, December, and march. Also, compare22 the results. year March (°C) June (°C) December (°C) 2004 7 22 -10 2005 8 23 -69 2006 10 24 -10 2007 9 23 -8 2008 8 25 -7 2009 10 26 -9 2010 27 -6 2011 11 29 -5 2012 16 29 -10 2013 17 29 -10 2014 13 29 -8 2015 14 25 -6 2016 17 28 -9 2017 15 27 -7 2018 18 29 -9 2019 14 26 -7 2020 13 26 -6
Help me answer part C only. .9793 is wrong
Life expectancy in the United States has been rising since the nineteenth century. The table shows the U.S. life expectancy in selected years. Year 1950 1960 1970 1980 1990 2000 Life expectancy at birth 68.2 69.7 70.8 73.7 75.4 77 a. Let t represent the number of years after 1950, and plot the data. Draw a line a best fit for the data points. 80+ 76- 5 10 15 20 25 30 35 40 45 50 Draw: 72+ 64- 60+ 56 52 48- 44 Clear All
Please give maximum value for this data!
The box plot to the left illustrates time spent studying per month for students from the years 2000 and 2010. Below are three incorrect statements. Please explain why the statement is incorrect. 2000- 2010 7. 9. 11 13 15 17 19 21 23 25 27 29 The median for the year 2010 was 20 hours studied per month. Submit is