The accompanying data are x = advertising share and y = market share for a particular brand of soft drink during 10 randomly selected years. x 0.104 0.072 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.137 0.127 0.120 0.086 0.079 0.076 0.065 0.059 0.051 0.039 b)Calculate the equation of the estimated regression line. (Round your answers to four decimal places.) d)Calculate a point estimate of ?e. (Round your answer to five decimal places.)

Make a graphical display of the following data sets, choosing nay type of display that you feel is appropriate. Explain your choice of display and discuss any interesting features in the data.  The following table shows the perscentages of American men and women who had never been married in selected years since 1960.    Percentages of Adults Who Never Married  Year            Women        Men  1960             19.0%         25.3% 1980             22.5%         29.6%  2000             21.5%         31.3% 2015             28.9%         34.8%

Are cigarettes bad for people? Cigarette smoking involves tar, carbon monoxide, and nicotine (measured in milligrams). The first two are definitely not good for a person's health, and the last ingredient can cause addiction. Use the data in the table above to make a stem-and-leaf display for milligrams of tar per cigarette smoked. (Enter NONE in any unused answer blanks.) Are there any outliers? A. Yes, 1.0 may be an outlier. B. No, there are no outliers.     C. Yes, 29.8 may be an outlier.

On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09   State the hypotheses.H0: The observed frequencies     in agreement with proportion of people in each age group.Ha: The observed frequencies     in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 =  Calculate the p-value. Round to 3 decimal places.p-value =  State your decision.Since p-value     α,…

Identify the type of observational study (cross-sectional, retrospective, or prospective) described below. A research company uses a device to record the viewing habits of about 10,000 households, and the data collected over the next 10 years will be used to determine whether the proportion of households tuned to a particular children's program decreases. Which type of observational study is described in the problem statement? O A prospective study O A retrospective study A cross-sectional study F4 F5 F6 F7 F8 F9 DELL F10 (... F11 -O F12 O PrtScr Insert Delete PgUp 。 Next PgDn Ho

The following table summarizes the grade point averages (GPAs) of graduatestudents in a statistics class. Approximate the mean GPA of the class.

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Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows. Occupied Rooms Total Rooms Ho: P₁ P₂ #0 Ha: P1 - P2 = 0 Current Year Previous Year Ho: P1 - P2 = 0 Ha: P₁ P₂ #0 Ho: P₁ Ha: P₁ (a) Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p₁ rooms occupied for current year and = P2 population proportion of rooms occupied for previous year.) - Ho: P₁ Ha: P₁ P₂ 0 1,750 1,440 1,800 = population proportion of

your car is more crowded than you think.  table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.