Concept explainers
(a)
To calculate: The least square regression parabola,
(b)
To graph: The least square regression parabola
And also determine if the model fits the provided data.
(c)
To calculate: The percent of females with offspring when the number of females was 170.
(d)
To calculate: The number of females with offspring when the percent of females was
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College Algebra
- Cellular Phone Subscribers The table shows the numbers of cellular phone subscribers y in millions in the United States from 2008 through 2013. Source: CTIA- The Wireless Association Year200820092010201120122013Number,y270286296316326336 (a) Find the least squares regression line for the data. Let x represent the year, with x=8 corresponding to 2008. (b) Use the linear regression capabilities of a graphing utility to find a linear model for the data. How does this model compare with the model obtained in part a? (c) Use the linear model to create a table of estimated values for y. Compare the estimated values with the actual data.arrow_forwardHOW DO YOU SEE IT? Discuss how well a linear model approximates the data shown in each scatter plot.arrow_forwardPercentages of public school students in fourth grade in 1996 and in eighth grade in 2000 who were at or above the proficient level in mathematics are given for eight western states. Find the equation of the least-squares line that summarizes the relationship between x = 1996 fourth-grade math proficiency percentage and y = 2000 eighth-grade math proficiency percentage. (Give the answer to three decimal places.) = State 4th grade(1996) 8th grade(2000) Arizona 15 20 California 11 17 Hawaii 16 15 Montana 22 36 New Mexico 13 12 Oregon 21 31 Utah 23 25 Wyoming 19 24arrow_forward
- Percentages of public school students in fourth grade in 1996 and in eighth grade in 2000 who were at or above the proficient level in mathematics are given for eight western states. Find the equation of the least-squares line that summarizes the relationship between x = 1996 fourth-grade math proficiency percentage and y = 2000 eighth-grade math proficiency percentage. (Give the numerical values to four decimal places.) |4th grade 8th grade (1996) State (2000) Arizona 16 19 California 12 16 Hawaii 17 14 Montana 23 35 New Mexico 14 11 Oregon 22 30 Utah 24 24 Wyoming 20 23 n USE SALT ŷ =arrow_forwardYou are the owner of Fast Break, a popular local place that sells drinks, snacks, and sandwiches. For inventory management purposes, you are examining how the weather affects the amount of hot chocolate sold in a day. You are going to gather a random sample of 7 days showing that day's high temperature (denoted by x, in °C) and the amount of hot chocolate sold that day (denoted by y, in liters). You will also note the product x.y of the temperature and amount of hot chocolate sold for each day. (These products are written in the row labeled "xy"). (a) Click on "Take Sample" to see the results for your random sample. Take Sample n: 0 x: 0 y: 0 Σχν: Π High temperature, x (in °C) Compute Amount of hot chocolate sold, y (in liters) xy 11 14 154 27 9 243 23 7 Slope (b₁): 161 Sample correlation coefficient (7): 3 y-intercept (bo): 18 54 6 11 66 Send data to calculator Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three…arrow_forwardFour points have these coordinates: 1 y 5. 4 Find the least-squares line for the data. y=5+0.6 x O ŷ=0.6 - 5.5 x y=5.5-0.6 x O ŷ=6-5.5 x 3. 3. 4.arrow_forward
- The data in the table represent the weights of various domestic cars and their miles per gallon in the city for the 2008 model year. For these data, the least-squares regression line is y = - 0.006x + 41.337. A twelfth car weighs 3,425 pounds and gets 12 miles per gallon. (a) The coefficient of determination of the expanded data set is R = %. (Round to one decimal place as needed.) Data Table How does the addition of the twelfth car to the data set affect R? Miles per Weight |(pounds), x A. It increases R. Gallon, y Car 1 3,771 22 B. It decreases R2. Car 2 3,990 19 C. It does not affect R2. 3,534 Car 3 20 Car 4 3,172 24 (b) Is the point corresponding to the twelfth car influential? Is it an outlier? Car 5 2,579 27 Car 6 3,730 20 A. No, it is not influential. Yes, it is an outlier. Car 7 2,605 25 B. Yes, it is influential. No, it is not an outlier. Car 8 3,777 19 C. No, it is not influential. No, it is not an outlier. Car 9 3,308 19 D. Yes, it is influential. Yes, it is an outlier. Car…arrow_forwardwhile in high school, Clayton started his T-shirt printing business. The table shows the number of T-shirts Clayton has sold each year since starting his business in 2010 year 2010 2011 2012 2013 2014 2015 2016 number of t-shirts 50 75 175 125 250 350 375 the linear regression equation representing the data shown in the table is y=57.14x + 28.57, where x represents the number of years since 2010 and y represents the number of T-shirts sold. expression unit contextual meaning mathematical meaning y 57.14 x 28.57 use the regression equation to predict the number of T-shirts Clayton sold during each given year then compare the prediction to actual number of T-shirt or determine if the prediction is reasonable based on the problem situation. 2012 2014 2016 2018 2024arrow_forwardPercentages of public school students in fourth grade in 1996 and in eighth grade in 2000 who were at or above the proficient level in mathematics are given for eight western states. Find the equation of the least-squares line that summarizes the relationship between x = 1996 fourth-grade math proficiency percentage and y = 2000 eighth-grade math proficiency percentage. (Give the numerical values to four decimal places.) State 4th grade(1996) 8th grade(2000) Arizona 16 22 California 12 19 Hawaii 17 17 Montana 23 38 New Mexico 14 14 Oregon 22 33 Utah 24 27 Wyoming 20 26 =arrow_forward
- The sales manager of a large apartment rental complex feels the demand for apartments may be related to the number of newspaper ads placed during the previous month. She has collected the data shown in the accompanying table. Ads purchased, (X) Apartments leased, (Y) 15 6 10 5 35 16 Find the least squares regression equation Estimate sale if the number of advertisements purchased is 30.arrow_forwardHelp please!arrow_forwardA. Interpret the slope B. Interpret the y-intercept C. How many absences could the student have and still pass the course? Assume that 75% is passingarrow_forward
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