The following table compares the completion percentage and interception percentage of 55 NFL quarterbacks. Completion Percentage 5555 5858 5858 6060 6464 Interception Percentage 4.74.7 4.34.3 3.83.8 3.73.7 2.82.8   Step 3 of 5 :   Calculate the estimated variance of slope, s2b1sb12. Round your answer to three decimal places.

The ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 54.22)      (2000, 52.13) (1988, 53.23)   (2004, 52.14) (1992, 52.94)   (2008, 51.42) (1996, 52.80)   (2012, 51.30) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let  t = 84 represent 1984.   (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y =          (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y =

Use the box-and-whisker plot to identify the five-number summary. Min = Q₁ = Q₂: = = Max = 936 1286 900 1200 1503 1500 1800 2086 1985 2100 Q

The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks. Completion Percentage 55.5 56 58 59 59.5 Interception Percentage 4.5 4 3.5 3 1.5 Copy Data Step 1 of 3 :   Draw a scatter plot of the given data.

Is the variable(foot print) below normally distributed or skewed? If skewed, indicate the direction.   male shoe print #1 32.2 #2 30.1 #3 29.0 #4 31.8 #5 29.4

Construct a scatter plot from the given points and describe the correlation.

The ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 55.12)      (2000, 53.03) (1988, 54.13)   (2004, 53.04) (1992, 53.84)   (2008, 52.32) (1996, 53.70)   (2012, 52.20) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let  t = 84  represent 1984.         (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y =        (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y =        (d) Compare the linear model you found in part (b) with the linear model you found in part (c). The models are not similar.The models are similar.

Altman and Bland report the survival times for patients with active hepatitis, half treated with prednisone and half receiving no treatment.7 The data that follow are adapted from their data for those treated with prednisone. The survival times are recorded to the nearest month:8     87      127   14711   93      133   14852   97      139    15757   109    142   16265   120    144   165a. Look at the data. Can you guess the approximate shape of the data distribution?b. Construct a relative frequency histogram for the data. What is the shape of the distribution?c. Are there any outliers in the set? If so, which survival times are unusually short?

Describe the data’s distribution. Number of products owned Millions of People 0 27 1 9 2 7 3-4 7 5 5

For computing the variance this number is called as the value that is added or subtracted from the most probable value a. accuracy b. mistake c. error d. probable error