The heights (inches) and foot lengths (cm) of 33 college men are shown in the dataset. Student Height Foot Length 1 66.5 27.0 2 73.5 29.0 3 70.0 25.5 4 71.0 27.9 5 73.0 27.0 6 71.0 26.0 7 71.0 29.0 8 69.5 27.0 9 73.0 29.0 10 71.0 27.0 11 69.0 29.0 12 69.0 27.2 13 73.0 29.0 14 75.0 29.0 15 73.0 27.2 16 72.0 27.5 17 69.0 25.0 18 68.0 25.0 19 72.5 28.0 20 78.0 31.5 21 79.0 30.0 22 71.0 28.0 23 74.0 29.0 24 66.0 25.5 25 71.0 26.7 26 71.0 29.0 27 71.0 28.0 28 84.0 27.0 29 77.0 29.0 30 72.0 28.0 31 70.0 26.0 32 76.0 30.0 33 68.0 27.0 If the person who reportedly is 84 inches tall is excluded, the regression equation for the remaining 32 men is expressed with the following formula. ŷ = 0.253 + 0.384x (a) How much does average foot length increase (in cm) for each 1-inch increase in height? (Round your answer to three decimal places.) cm (b) Predict the difference in the foot lengths (in cm) of men whose heights differ by 10 inches. (Round your answer to two decimal places.) cm (c) Suppose Max is 62 inches tall and has a foot length of 24.80 centimeters. On the basis of the regression equation, what is the predicted foot length (in cm) for Max? (Round your answer to two decimal places.) cm What is the value of the prediction error (residual) for Max (in cm)? (Round your answer to two decimal places.

According to a college survey, 32% of all students work full time. Find the mean for the number of students who work full time in samples of size 16. Round your answer to the nearest hundredth if needed.

(0.5,3.4),(0.2,3.7),(1.2,5.5),(2.9,7.3),(3.4,7.9),(2.4,5.9),(4.4,8.1),(4.5,7.9),(4.9,7.9),(3.3,6.6) Compute the coefficients of polynomials of degrees 3,4,5,6,7,8,9(3 to 9) that approximates the above data points in the least-square sense using Cholesky factorization.

In an insurance company study of the causes of 1,000 deaths, these data were obtained. Draw a pie chart to represent the data. Cause of Death                        Number of Deaths Heart disease                           432 Cancer                                     227 Stroke                                      93 Accidents                                24 Other                                      224 Total                                       1,000

Determine the value of the interquartile range for the following data set: 45.5, 67.1, 20.8, 74.2, 18.0, 38.7, 5.8 State the interquartile range value rounded to the nearest tenth.

In 2014, what ratio of construction worker injuries resulted in death?a.1 out of 5Correctb.1 out of 50Incorrectc.1 out of 100Incorrectd.1 out of 1,000

A)Find the mean, median, mode, and range for the following data set 59,65,70,71,71,74,75,78,80,83,84,87,91,98,100 B)find the five number summary and draw a box plot. Briefly describe the shape and variation of the distribution. Explain your results.

Determine which of the four levels of measurement ( norminal, ordinal, interval, ratio) is most appropriate for the data below. Years in which U.S. presidents were inaugurated

The lengths (in kilometers) of a random sample of 18 rivers on the South Island of New Zealand that flow to the Pacific Ocean are listed in table below. Lengths of Rivers (in km) 136 121 322 209 208 98 160 66 97 56 90 48 167 64 72 93 288 138 For the data shown above, find the following. Do not round any of your answers. The program here will take either answer.a)  Find the 5-number summary:     { ,,,, } b) Compute the IQR.     Put your answer in the first box and the correct units in the second box.      c) What is the lower fence for this data set?           What is the upper fence for this data set?        d) Which of the following is the correct modified boxplot for the data?     What units would go on each of your answers above?

The following table shows the average annual amount of precipitation (mm) for 16 Canadian cities. Create a box-and-whisker plot to display this information. Precipitation (mm) City St. John's 1482 |Charlottetown 1201 Halifax 1474 Fredericton 1131 Québec City 1208 Montréal 940 |Ottawa 911 |Toronto 819 Winnipeg Regina 504 364 Edmonton 461 |Calgary 399 Vancouver 1167 Victoria 858 Whitehorse 269 Yellowknife 267