QUESTION 1oThe holder of Cypres Recordings studied the relationship among sales (y) and the amount spent on advertising (x).A random sample of 30 recordings gives the following information.The intercept = 15.2 and the slope = 0.91The estimated sales for 17 amount of advertisement is equal to?(Round answer to three decimal places ex. 2.091)QUESTION 11Click Save and Submit to save and submit. Click Save All Answers to save all answers.

The holder of Cypres Recordings studied the relationship among sales (y) and the amount spent on…

Answered: The holder of Cypres Recordings studied…

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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12:51 K A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences, and obtains the accompanying data. Complete parts (a) through (g) below. Click the icon to view the children's data. Data Table (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as the response variable. y = x+ (Round the slope to three decimal places and round the constant to one decimal place as needed.) Height (inches), x Head Circumference (inches), y 27.5 17.4 24.5 17.0 25.75 17.0 26 17.5 24.25 16.8 27.75 17.5 26.25 17.2 17.4 17.2 17.4 17.4 27.25 26.5 26.5 27.75 Vol) 1 LTE2 = Print ا... ا... Done 45% X
The accompanying data file shows the square footage and associated property taxes for 20 homes.
Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R? = 0.12, (b) R2 = 0.98, (c) R? = 0.58 (a) Scatter diagram Eplantory (b) Scatter diagram (e) Scatter diagram Esplanatory II Eplanatory
An engineer wants to determine how the weight of a car, x, affects gas mileage, y. The following data represent the weights of various cars and their miles per gallon. C Car Weight (pounds), x Miles per Gallon, y 2630 3095 3305 3655 4150 25.7 24.5 22 22 15.4 (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. Write the equation for the least-squares regression line. (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) (b) Interpret the slope and intercept, if appropriate. Choose the best interpretation for the' slope. O A. The slope indicates the mean change in miles per gallon for an increase of 1 pound in weight. O B. The slope indicates the mean weight. OC. The slope indicates the mean miles per gallon. O D. The slope indicates the ratio between the ean weight and the mean miles per gallon. hp
In the United States, it is illegal to drive with a blood alcohol concentration of 0.08 or higher. (A blood alcohol concentration of 0.08 indicates 0.08% alcohol in the blood.) The scatter plot shows the relationship between the number of one-ounce beers consumed per hour by a 200-pound person and that person's corresponding blood alcohol concentration. Also shown is a line that passes through or near the data points. Blood Alcohol Concentration Based y on a Body Weight of 200 Pounds 0.14 0.12 0.10 (7, 0.121) 0.08 0.06 0.04 (3, 0.053) 0.02 2 3 4 5 7 Number of Beers per Hour Source: National Highway Traffic Safety Administration a. Use the two points whose coordinates are shown by the voice balloons to find the point-slope form of the equation of the line that models the blood alcohol concentration of a 200-pound person, y, who consumes x one-ounce beers per hour. b. Write the equation from part (a) in slope-intercept form. Use function notation. c. Use the linear function to predict…
The data in the accompanying table represent the length of life, in years, measured to the nearest tenth, of 30 similar fuel pumps. Complete parts (a) through (c) below. Click the icon to view the fuel pump data. (a) Construct a stem-and-leaf plot for the life in years of the fuel pumps, using the digit to the left of the decimal point as the stem for each observation. Stem Leaf Frequency Get more help. Fuel Pump Life Spans 2.4 3.3 0.4 3.1 1.3 0.2 0.5 5.6 5.9 6.2 0.5 2.4 1.4 4.3 6.3 1.7 4.9 0.2 4.6 0.4 1.5 0.5 2.3 4.8 1.0 5.6 5.9 6.0 1.2 0.2 Print Done -X eck answ
Which is correct?
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
Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R2=0.12, (b) R2=0.90, (a) Scatter diagram . (b) Scatter diagram . (c) Scatter diagram
Given the values in the following table, what is the slope - intercept form of the data? 4 -2 1 4 O y 3x- 8 Oy=-3x+ 8 Oy 3x - 6 O y = 5x + 9
Help with question 2 and 3 please. Help with question 2 and 3 please.
Which of the slopes matches best with the slope of the data in the scatter plot? would it be m = 3/8?, m = 8/3?, m = - 3/8? or would it be m = - 8/3???

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