14)
X | Y | XY | X^2 | Y^2 |
77 | 241 | 18557 | 5929 | 58081 |
76 | 225 | 17100 | 5776 | 50625 |
77 | 241 | 18557 | 5929 | 58081 |
72 | 209 | 15048 | 5184 | 43681 |
76 | 225 | 17100 | 5776 | 50625 |
77 | 244 | 18788 | 5929 | 59536 |
n | 6 |
sum(XY) | 105150.00 |
sum(X) | 455.00 |
sum(Y) | 1385.00 |
sum(X^2) | 34523.00 |
sum(Y^2) | 320629.00 |
Numerator | 725.00 |
Denominator | 791.86 |
r | 0.9156 |
r square | 0.8383 |
Xbar(mean) | 75.8333 |
Ybar(mean) | 230.8333 |
SD(X) | 1.7717 |
SD(Y) | 12.4153 |
b | 6.4159 |
a | -255.7080 |
r = correlation coefficient = 0.916
15)
X | Y | XY | X^2 | Y^2 |
45 | 51 | 2295 | 2025 | 2601 |
54 | 63 | 3402 | 2916 | 3969 |
45 | 46 | 2070 | 2025 | 2116 |
55 | 64 | 3520 | 3025 | 4096 |
59 | 69 | 4071 | 3481 | 4761 |
49 | 45 | 2205 | 2401 | 2025 |
n | 6 |
sum(XY) | 17563.00 |
sum(X) | 307.00 |
sum(Y) | 338.00 |
sum(X^2) | 15873.00 |
sum(Y^2) | 19568.00 |
Numerator | 1612.00 |
Denominator | 1768.95 |
r | 0.9113 |
r square | 0.8304 |
Xbar(mean) | 51.1667 |
Ybar(mean) | 56.3333 |
SD(X) | 5.2414 |
SD(Y) | 9.3749 |
b | 1.6299 |
a | -27.0647 |
b1 = 1.63
Question 14 (7 points) The following table lists the heights (in inches) and weights (in pounds)...
The following table lists the heights in inches and weights in pounds of six football quarterbacks. Height Weight 72 217 71 205 76 215 75 212 71 219 76 221 The Icast-squares regression equation is D = 158.7740 + 0.7627x. If two quarterbacks differ in height by 6 inches, by how much would you predict their weights to differ? 952.64 pounds 4.58 pounds 6.00 pounds C 0.76 pounds
The data table contains frequency distribution of the heights of the players in a basketball league. a. Calculate the mean and standard deviation of this population. b. What is the probability that a sample mean of 40 players will be less than 69.5 in.? c. What is the probability that a sample mean of 40 players will be more than 71 in.? d. What is the probability that a sample mean of 40 players will be between 70 and 71.5...
Like Father, like son: In 1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 7 pairs, with height measured in inches, simulated from the distribution specified by Pearson. The least-squares regression line y=b0+b1x, se=2.3624697, E(x-x)^ 2=33.51, and x=70.02 are known for this data. Compute a point estimate of the mean height of sons whose fathers are 70 inches tall. Father's height Son's height 69 69.1 73.6 74.9...
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Question 4 (0.5 points) Consider the following hypotheses: Ho: mean 5 H: mean 5 A test is performed with a sample of size 25. The sample mean was 4.79 and the population standard deviation is 1.2. Assume that the population is approximately normal. Use the TI-84 PLUS calculator to compute the Pvalue. Round your answer to four decimal places (for example: 0.0138). Write only a number as your answer. Your Answer: Answer Question 5 (0.5 points) Consider the following hypotheses:...
Question 4 (0.5 points) Consider the following hypotheses: Ho: mean= 5 Hi: mean< 5 A test is performed with a sample of size 25. The sample mean was 4.79 and the population standard deviation is 1.2. Assume that the population is approximately normal. Use the TI-84 PLUS calculator to compute the value. Round your answer to four decimal places (for example: 0.0138). Write only a number as your answer. Your Answer: Answer Question 7 (0.5 points) Consider the following hypotheses:...