The scatter plot shows the time spent studying, x, and the midterm score, y, for each of 23 students.100908070Midterm score60504030X X2010-46101214161820Time spent studying (in hours)Use the equation of the line of best fit, y = 3.78x+ 16.88, to answer the questions below.Give exact answers, not rounded approximations.(a) What is the predicted midterm score for a student whodoesn't spend any time studying?(b) For an increase of one hour in the time spent studying,what is the predicted increase in the midterm score?(c) What is the predicted midterm score for a student whostudies for 12 hours?

For the given data Fill all the required blanks

Answered: The scatter plot shows the time spent…

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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A real estate company specializing in sales of farms would like to know if their salespeople's sales can be predicted based on the number of years with the company. The years of experience is the explanatory variable and number of sales the predictor. The data is recorded in the tables below. Calculate the intercept (rounded off to four decimals). 1. 3 2 4 4 6 8 8. 9 12 10 10
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, 54.22) (2000, 52.13) (1988, 53.23) (2004, 52.14) (1992, 52.94) (2008, 51.42) (1996, 52.80) (2012, 51.30) (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 =
A property analyst is examining the relationship between the City Council's valuation on residential property and the market value (selling price) of the properties. A random sample of 8 recent property transactions were examined. The data is recorded in the tables below. Find the intercept (rounded off to four decimals). 1 2 3 4 5 6 7 8 A. 0.0892 B. -4.0293 OC. 6.7128 D. 1.285 City Council valuation (R1000) 12 45 32 50 28 56 18 40 Market value (R1000) 65 220 142 310 196 364 116 260 SSxy=10319.875 SSY = 70990.875 Exy=69084 b = 6.1912 SSX 1666.875 x = 34.4286 y=209.125
The data represents the heights of eruptions by a geyser. Use the heights to construct a stemplot. Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. Height of eruption (in.) 69 37 50 90- 80 50 40 70 50 64 72 57 59 69 67 60 77 70 48 86 Which plot represents a stemplot of the data? A. 37 408 500079 604799 70027 806 90 B. 3 089 4079 5 004 6 007 7009 8 027 906 Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. The values closest to the middle are inches and inches. (Type whole numbers. Use ascending order.) ○ C. 37 4047799 50027 6006 70089 80 90
Interpolate the Sales for 1990 from the following data. Years : 1988 1989 1990 1991 1992 Sales : 250 290 ? 390 425 Use Parabolic curve method.
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The data represents the heights of eruptions by a geyser. Use the heights to construct a stemplot. Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. Height of eruption (in.) 65 31 50 90 80 50 40 70 67 73 52 50 54 68 63 60 Which plot represents a stemplot of the data? OA. 3 4023578 50037 6008 70034 80 90 B. 31 4 03 5 00024 603578 70037 808 90 Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. The values closest to the middle are ☐ inches and ☐ inches. (Type whole numbers. Use ascending order.) C. 3 034 4 025 5 007 6003 7 008 8 037 9 08 77 70 43 88
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.
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