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- A survey of 1520 Americans adults asked "Do you feel overloaded with too much information?" The results indicate that 80% of females feel information overload compared to 65% of males. The results are given in table. Overloaded Yes Gender Male Female Total 480 624 1104 a. Construct contingency tables based on total percentages, row percentages, and column percentages. b. What conclusions can you reach from these analyses? No 260 156 416 Total 740 780 1520 ... a. Construct contingency tables based on total percentages, row percentages, and column percentages. Start with the table based on total percentages. Gender Overloaded Male Female Total Yes % % No % % % Total % (Round to two decimal places as needed.) Construct the table based on row percentages. Gender Overloaded Male Female Total % % Yes % No % % Total % % %A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.Periodical Spider-Man Fortune Federation MadNumber 156 52 26 78% of Library 18.6% 6.2% 3.1% 7.0%One of the percentages in this table is incorrect. Which is it?a. 18.6% (Spider-Man)b. 6.2% (Soldier of Fortune)c. 3.1% (WWF)d. 7.0% (Mad)
- A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Use the model to predict the number of sick days taken for an employee who took 3 vacation days this year.Sick Days = ? (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. The slope has no practical meaning since a negative number cannot occur with vacation days and sick days. For every additional vacation day taken, employees tend to take on average 0.40 fewer sick days. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If an employee takes no vacation days, then that employee will take 8 sick days. The average number of sick days is…The table shows the national expenditures for health care in billions, in a country for the selected years from 1990 to 2020. Given the projection cost for the year 2002, identify the type of regression point. Year Exprenditures ($billions) 1991 1020 1994 1356 1998 1984 2004 2984 2009 3374 2016 4765 2020 5937 Interpolation Extrapolation Neither Bothusing the excel data ... College Student Weekly Earnings in Dollars (n = 5) Hours Worked (X) Weekly Pay (Y) (xi - x̅)2 (yi - y̅)2 (xi - x̅)(yi - y̅) 11 95 16 173 22 210 18 157 30 270 x̅=?????? y̅=??????? SSxx SSyy SSxy
- Ozone levels (in parts per billion, ppb) were recorded at sites in New Jersey monthly between 1926 and 1971. Here are boxplots of the data for each month The month of Ozone (ppb) 440- 400- The month of 360- 320- 280- 240 1 L TH OHH OHH a) In what month was the highest ozone level ever recorded? The highest ozone level ever was recorded in b) Which month has the largest IQR? c) Which month has the smallest range? • HIH • has the largest IQR. HOH O HH 2 3 4 5 6 7 8 9 Month has the smallest range. d) Write a brief comparison of the ozone levels in January and June. Choose the correct answer below. OA. The median ozone level in June was slightly lower than the median ozone level in January and the IQR was significantly smaller. OB. The median ozone level in June was slightly higher than the median ozone level in January, but the IQR was significantly smaller. OHH OC. The median ozone level in June was slightly lower than the median ozone level in January, but the IQR was significantly…50Score GPA Hours Absences Gender78 3.15 3.0 4 Female75 2.71 4.0 1 Female79 3.57 3.5 2 Male85 3.26 6.5 0 Female85 3.75 2.0 0 Female84 3.20 4.5 3 Female85 3.16 5.0 3 Male80 3.35 1.5 0 Female74 2.75 3.5 6 Male81 3.04 6.5 1 Male76 2.53 3.0 0 Female85 2.92 6.0 1 Male