A Survey of Mathematics with Applications (10th Edition) - Standalone book
10th Edition
ISBN: 9780134112107
Author: Allen R. Angel, Christine D. Abbott, Dennis Runde
Publisher: PEARSON
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Textbook Question
Chapter 12.6, Problem 19E
In Exercises 19-26, (a) draw a
19.
x | y |
4 | 8 |
5 | 10 |
6 | 12 |
7 | 12 |
10 | 16 |
Table 12.9 Critical Values* for the
n | α = 0.05 | α = 0.01 |
4 | 0.950 | 0.990 |
5 | 0.878 | 0.959 |
6 | 0.811 | 0.917 |
7 | 0.754 | 0.875 |
8 | 0.707 | 0.834 |
9 | 0.666 | 0.798 |
10 | 0.632 | 0.765 |
11 | 0.602 | 0.735 |
12 | 0.576 | 0.708 |
13 | 0.553 | 0.684 |
14 | 0.532 | 0.661 |
15 | 0.514 | 0.641 |
16 | 0.497 | 0.623 |
17 | 0.482 | 0.606 |
18 | 0.468 | 0.590 |
19 | 0.456 | 0.575 |
20 | 0.444 | 0.561 |
22 | 0.423 | 0.537 |
27 | 0.381 | 0.487 |
32 | 0.349 | 0.449 |
37 | 0.325 | 0.418 |
42 | 0.304 | 0.393 |
47 | 0.288 | 0.372 |
52 | 0.273 | 0.354 |
62 | 0.250 | 0.325 |
72 | 0.232 | 0.302 |
82 | 0.217 | 0.283 |
92 | 0.205 | 0.267 |
102 | 0.195 | 0.254 |
The derivation of this table is beyond the scope of this text. It shows the critical values of the Pearson correlation coefficient. |
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Data comprises of the number of hours studied (X) and the exam grade (Y) obtained for 6 first year students registered at UWC. The equation of best fit is given by: y = 67.071 + 4.535x. The correlation coefficient is found to be 0.557, which implies that the coefficient of determination is …………, and that ……………..
A. 0.557, about 55,7% of the variation in Y is explained by the estimated line of best fit.
B. 55.7%, the time (in hours) spent studying has a positively correlation with the grade obtained in the exam.
C. 0.7463, about 74.6% of the variation in Y is explained by the estimated line of best fit.
D. 0.310, about 31% of the variation in Y is explained by the estimated line of best fit.
construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6 using α = 0.05 Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-3 exercises.)
Crickets and Temperature One classic application of correlation involves the association between the temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 min and the corresponding temperatures in °F (based on data from The Song of Insects by George W. Pierce, Harvard University Press). Is there sufficient evidence to conclude that there is a linear correlation between the number of chirps in 1 min and the temperature?
1-5. A study is conducted to determine the relationship between a driver’s age and the number of accidents a person has over a one-year period. The data are shown below. At α = 0.05, using Pearson correlation, is there a significant relationship between a driver’s age and the number of accidents a person?
1. What is the value of r?
a) -0.172
b) -0.892
c) 0.172
d) 0.892
2.The regression equation is defined by y' = a + bx. What is the value for a?
a) 4.02
b) 3.36
c) 3.07
d) 2.86
3. The regression equation is defined by y' = a + bx. What is the value for b?
a)0.34
b) 0.29
c) -0.03
d) -0.34
4. If we do t test for the correlation coefficient. What will be the test value?
a)1.36
b) 1.28
c) -0.43
d) -0.56
5. What is the critical value to be used in the given problem?
a) ±1.943
b) ±2.306
c) ±2.365
d) ±2.447
note: answer the 4 and 5 only thank you!!
Chapter 12 Solutions
A Survey of Mathematics with Applications (10th Edition) - Standalone book
Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...Ch. 12.1 - In Exercises 1-10, fill in the blank with an...
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Do...Ch. 12.5 - In a distribution that is skewed to the right,...Ch. 12.5 - In a distribution skewed to the left, which has...Ch. 12.5 - List three populations other than those given in...Ch. 12.5 - List three populations other than those given in...Ch. 12.5 - Salesperson Promotion The owner at Kims Home...Ch. 12.5 - Chebyshevs Theorem How can you determine whether a...Ch. 12.5 - Test Scores Obtain a set of test your instructor....Ch. 12.5 - Determine a value of z such that z 0 and 97.5% of...Ch. 12.5 - Prob. 87ECh. 12.5 - Prob. 88ECh. 12.5 - Prob. 89ECh. 12.6 - In Exercises 1-6, fill in the blank with an...Ch. 12.6 - In Exercises 1-6, fill in the blank with an...Ch. 12.6 - In Exercises 1-6, fill in the blank with an...Ch. 12.6 - In Exercises 1-6, fill in the blank with an...Ch. 12.6 - In Exercises 1-6, fill in the blank with an...Ch. 12.6 - Prob. 6ECh. 12.6 - In Exercises 7-10, indicate if you believe that a...Ch. 12.6 - Prob. 8ECh. 12.6 - In Exercises 7-10, indicate if you believe that a...Ch. 12.6 - In Exercises 7-10, indicate if you believe that a...Ch. 12.6 - In Exercises 11-18, assume that a sample of...Ch. 12.6 - In Exercises 11-18, assume that a sample of...Ch. 12.6 - In Exercises 11-18, assume that a sample of...Ch. 12.6 - Prob. 14ECh. 12.6 - In Exercises 11-18, assume that a sample of...Ch. 12.6 - Prob. 16ECh. 12.6 - In Exercises 11-18, assume that a sample of...Ch. 12.6 - Prob. 18ECh. 12.6 - In Exercises 19-26, (a) draw a scatter diagram;...Ch. 12.6 - Prob. 20ECh. 12.6 - In Exercises 19-26, (a) draw a scatter diagram;...Ch. 12.6 - Prob. 22ECh. 12.6 - In Exercises 19-26, (a) draw a scatter diagram;...Ch. 12.6 - Prob. 24ECh. 12.6 - In Exercises 19-26, (a) draw a scatter diagram;...Ch. 12.6 - In Exercises 19-26, (a) draw a scatter diagram;...Ch. 12.6 - In Exercises 27-34, determine the equation of the...Ch. 12.6 - In Exercises 27-34, determine the equation of the...Ch. 12.6 - Prob. 29ECh. 12.6 - Prob. 30ECh. 12.6 - In Exercises 27-34, determine the equation of the...Ch. 12.6 - Prob. 32ECh. 12.6 - In Exercises 27-34, determine the equation of the...Ch. 12.6 - Prob. 34ECh. 12.6 - In Exercises 35-44, round both m and b the nearest...Ch. 12.6 - In Exercises 35-44, round both m and b the nearest...Ch. 12.6 - In Exercises 35-44, round both m and b the nearest...Ch. 12.6 - Prob. 38ECh. 12.6 - In Exercises 35-44, round both m and b the nearest...Ch. 12.6 - Prob. 40ECh. 12.6 - Prob. 41ECh. 12.6 - Prob. 42ECh. 12.6 - In Exercises 35-44, round both m and b the nearest...Ch. 12.6 - Prob. 44ECh. 12.6 - Prob. 45ECh. 12.6 - Prob. 46ECh. 12.6 - Calculating a Correlation Coefficient a. 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- 1-5. A study is conducted to determine the relationship between a driver’s age and the number of accidents a person has over a one-year period. The data are shown below. At α = 0.05, using Pearson correlation, is there a significant relationship between a driver’s age and the number of accidents a person? 1. What is the value of r? a) -0.172 b) -0.892 c) 0.172 d) 0.892 2.The regression equation is defined by y' = a + bx. What is the value for a? a) 4.02 b) 3.36 c) 3.07 d) 2.86 3. The regression equation is defined by y' = a + bx. What is the value for b? a)0.34 b) 0.29 c) -0.03 d) -0.34 4. If we do t test for the correlation coefficient. What will be the test value? a)1.36 b) 1.28 c) -0.43 d) -0.56 5. What is the critical value to be used in the given problem? a) ±1.943 b) ±2.306 c) ±2.365 d) ±2.447arrow_forward(a) Display the data in a scatter plot. (b) Calculate the sample correlation coefficient r. (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let α=0.01.arrow_forward(a) Display the data in a scatter plot. Choose the correct graph below. B)Calculate the sample correlation coefficient r. C)Describe the type of correlation, if any, and interpret the correlation in the context of the data. D)d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let α=0.01. The critical value is______Therefore, there_________sufficient evidence at the 1%l evel of significance to conclude that_______________between high school girls' heights and their IQ scores.arrow_forward
- B. What is the value of the correlation coefficient for all 10 data points? r=___ Is there a linear correlation between x and y? Use α=0.05. Yes OR No. What is the correlation coefficient when the point (10,2)is excluded? r=___ Is there a linear correlation between x and y? Use α= 0.05. Yes or No C. What do you conclude about the possible effect from a single pair of values? A single pair of values does not change the conclusion or The effect from a single pair of values can change the conclusion.arrow_forwardA study was done to determine the relationship between the alcohol content of beer, and the amount of calories in a 12 oz serving size. The sample data is provided in the data below. a) From this sample data, can you conclude (at the alpha=0.05 level) that there is in fact a linear correlation between the two variables? Use the statistics (correlation coefficient, value) to describe the correlation (if any). B) Using the sample data, find a regression equation to estimate the number of calories in a beer. C) Dogfish Head Brewery in Milton, Delaware has an I.P.A. beer called "120 minute IPA" which has an alcohol content of 18%. Using your regression equation, estimate the number of calories in a 12 oz serving of 120 Minute. Brand/Beer Alcohol Content (%) Calories (per 12 oz) Big Sky Scape Goat Pale Ale 4.70 163 Sierra Nevada Harvest Ale 6.70 215 Steel Reserve 8.10 222 Coors Light 4.15 104 Genesee Cream Ale 5.10 162 Sierra Nevada Summeefest Beer 5.00 158 Michelob Beer…arrow_forwardIf the correlation coefficient obtained from data pairs of variables X and Y is 0.98 the strength and direction of the relationship between X and Y is which of the following: (i) very strong positive (ii) moderate positive (iii) moderate negative (iv) very weak negativearrow_forward
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