Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line,131133.211261049.y 11.7010.55 13.2113.469.1413.145.467.4412.55 13.44=D+x (Round to two decimal places as needed.)Create a scatterplot of the data. Choose the correct graph below.O A.O B.OC.O D.AY25-2525-2520-20-20-20-15-15-151551010-1051055-5-0 5 10 15 20 255 10 15 20 2505 10 15 20 250 5 10 15 20 25Identify a characteristic of the data that is ignored by the regression line.O A. There is an influential point that strongly affects the graph of the regression line.The data hac a nattern that ic not a ctraiaht line

1) The regression equation is y=2.3+1x x y x2 y2 x⋅y 8 11.7 64 136.89 93.6 3 3.21 9 10.3041…

Answered: Use the given data to find the equation…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 41RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed in...

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The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.x y10 7.469 6.8311 13.1110 6.8111 7.5813 8.787 6.164 5.1612 7.846 6.656 5.52
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 8 12 7 3 6 13 11 10 5 4 9 y 9.58 9.54 8.70 1.64 7.46 8.64 10.08 10.26 5.88 3.94 10.10 y=_+_x (Round to two decimal places as needed.)
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance Attitute59 7263 6765 7869 8258 7577 8776 9269 8370 8764 78 A. y=11.7+1.02x B. y=2.81+1.35x C. y=−47.3+2.02x D. y=92.3−0.669x
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. X 1, 3, 5, 7, 9 Y 143, 116, 100, 98, 90
A local retail store compared their monthly sales of Umbrellas with the amount of rainfall that occurred during that month. They computed the following statistics: Rainfall (in) #of umbrellas Mean=4.64 mean= 34.2 SD=1.17 SD=13.2 r=0.8 a) find the equation for the regression line that predicts the monthly sales of umbrellas from monthly rainfall b) forecasters are predicting that next month will be a wet one,expecting six inches of rain. How many umbrellas should the store expect to sell?
A statistics professor wants to determine how students' final grades are related to mid-term exam scores, applied in the middle of the term, and the number of classes missed. The teacher selects 10 students from his class and obtains the following data as an attachment. Y = b + m1x1 + m2x2 being the general form of the multiple regression equation referring to the data above. Check the alternative that corresponds to the approximate value of b, m1 and m2, respectively: a) 46,39; 0,54; -4,89 b) -4,89; 0,54; 46,39 c) 46,39; -4,89; 0,54 d) -4,89; 46,39; 0,54
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 6 5 11 4 9 10 7 12 8 3 13 y 7.16 5.68 9.28 3.84 9.50 9.56 8.30 8.64 9.08 1.64 7.64
The prelim grades (x) and midterm grades (y) of a sample of 10 MMW students is modeled by the regression line y = 12.0623 + 0.7771x. Estimate the prelim grade if the midterm grade is 83.

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