The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Step 1 of 6: Find the estimated slope. Round your answer to three decimal places Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Step 3 of 6: Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false. Step 4 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. If the value of the independent variable is increased by one unit, then find the change in the dependent variable ^y. Step 5 of 6: According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable ˆy is given by? Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places

We take another look at health based on the practice question on Page 408, this time examining the relationship between educational attainment and perceived quality of health care. Data for three groups are presented based on the HINTS2012 data set. Present the five-step model for these data, using alpha = .01. QUALITYCARE is measured on a five-point scale: 1—excellenet, 2—very good, 3—good, 4—fair, and 5—poor. Note how a lower score indicates a higher quality of care.

8. Find the answers for the worksheet (4 pts).

9. Calculate Mean Square within and Mean Square between (2 pts).

10. What’s the F statistic in this data (2 pts)? Make decision if alpha was set up at .05, and please use Appendix E (Page 487) to discuss your decision making (2 pts).

A pollution tax allows regulators to set the __________of pollution in a given geographic area.

10 points   

If a government chooses a scheme of pollution control using marketable permits as a main tool to manage the environment, then the reduction in pollution __________.

will take place in the firms where the cost of doing so is the least expensive

should take place in every firm based on the length of time the firm has to comply with regulations

is initiated at the household level

charges are refundable as an incentive to participate

none of the choices are correct

10 points   

Which of the following are effective forms of market oriented environmental regulation?

better defined property rights

marketable permits

cap-and-trade

marginal cost pricing

pollution charges

10 points   

Which of the following are criticisms of command and control regulation?

marked oriented tools, such as pollution taxes, are more effective at giving firms incentives to pollute

command and control policy comes with a significant time lag

regulated firms lack the incentive to improve beyond the baseline standards

command and control regulations are subject to loopholes

there is a lack of flexibility with command and control regulation

10 points   

Beverly the beekeeper decides to locate her mild mannered bees on a plot of land located between an avocado orchard and a middle school for teens with bad attitudes. A positive externality that could transpire is

the bees helping to pollinate the orchard, leading to more fruit

the bees enroll in school and learn how to read

the honey the bees produce

the possibility of the bees stinging teens who sag their pants too far below the waist

the cost of the bee hives to Beverly, the beekeeper

10 points   

Assignment #1: Descriptive Statistics Directions:

Use the Frequencies option in SPSS to answer each of the questions based on the following scenario.

Scenario: A superintendent of a school district was requested to present to the school board demographic data based on the schools within the district.

One item that the superintendent had to present was the percent of students who were eligible for free or reduced-price lunch (a commonly used proxy for socio-economic status).

The following percents were reported for the 38 schools in the district: 73.5 62.2 55.3 64.1 63.2 47.4 48.3 63.8 63.1 50.4 79.4 59.5 66.7 57.7 53.5 60.4 56.2 59.0 60.8 58.6 62.4 61.3 54.5 56.0 45.6 54.1 53.3 61.4 61.2 52.7 61.8 57.5 65.0 49.9 75.1 57.2 59.7 53.0 52.5

Questions:

1. What is the sample size for this analysis?

2. What is the mean percent of students receiving free or reduced-price lunch for this district?

3. What is the median percent of students receiving free or reduced-price lunch for this district?

4. What is the lowest percent of students receiving free or reduced-price lunch for this district?

5. What is the highest percent of students receiving free or reduced-price lunch for this district?

6. What is the value of the range?

7. What is the value of the standard deviation?

8. What is the value of the skewness statistic?

9. What are the values of the 25th, 50th, and 75th percentiles?

10. Present the results in as they might appear in an article.

The narrative statement must provide a thorough description of the central tendency and distribution of the percent of students receiving free or reduced-price lunch for this district.

(1 point) Almost all medical schools in the United States require applicants to take the Medical College Admission Test (MCAT). On one exam, the scores of all applicants on the biological sciences part of the MCAT were approximately Normal with mean 9.4 and standard deviation 2.2. For applicants who actually entered medical school, the mean score was 10.2 and the standard deviation was 1.7.

(a) What percent of all applicants had scores higher than 12?
ANSWER:   

%

(b) What percent of those who entered medical school had scores between 10 and 11?
ANSWER:   

%

(1 point) The temperature at any random location in a kiln used in the manufacture of bricks is normally distributed with a mean of 1025 and a standard deviation of 40 degrees.
If bricks are fired at a temperature above 1140, they will crack and must be disposed of. If the bricks are placed randomly throughout the kiln, the proportion of bricks that crack during the firing process is closest to

(Note: Please enter your answer in decimal form. For example, 5.02% should be entered as 0.0502.)

(1 point) Scores on a certain intelligence test for children between ages 13 and 15 years are approximately normally distributed with μ=106μ=106 and σ=24σ=24.

(a) What proportion of children aged 13 to 15 years old have scores on this test above 96 ? (NOTE: Please enter your answer in decimal form. For example, 45.23% should be entered as 0.4523.)
Answer:

(b) Enter the score which marks the lowest 30 percent of the distribution.
Answer:

(c) Enter the score which marks the highest 10 percent of the distribution.
Answer:

Is the declining labor force participation rate amongst men a bad thing?

In class this week, we learned that 16% of men aged between 25-54 in 2014 were not working. That number is nearly triple the amount seen in 1968- ~5%- and is significantly larger than prior decades. In 1950, about 4/100 men didn't go to work. Currently 14/100 men don't go to work. So what's goin on?

Certainly it's a bad thing that the labor force participation amongst men is declining when looking at the perspective with a quick glance. But only 1/3rd of the rise for prime-aged men can be explained by unemployment. There's more to the story, which leads me to believe that it isn't as bad as it looks.

Male graduation rates have risen by 5% since 2000 and school accounts for a 13% increase in prime-aged non-workers. With more males going to school, the LFPR is declining. However, in the long-run education and skills are rising, which leads to a better occupation. Furthermore, about 24% of men are staying home to take care of their families now- which is a rise from 17% in 2016. So, I don't view it as a bad thing that males are staying home to protect and care for their loved ones. Additionally, disabilities might play a role. Disabilities significantly prevent workers from returning to work, which may be another answer to this "problem." However, those with disabilities receive payments to assist with their living conditions.

The debate can go either way on this topic, and I view this decline as neither good nor bad. There is evidence for both sides of the story. What do you think?

One measure of the health of a national economy is how quickly it creates jobs. One aspect of this issue is the number of jobs individual hold. As   part of a study on job tenure, a survey was conducted wherein Americans aged between 17 and 45 were asked how many jobs they have hold in their lifetimes. Also recorded were gender and educational attainment. The categories are

     Less than high school (E1)

     High school (E2)

     Some college/university but not degree   (E3)

     At least one university    (E4)

    File: Comparing the Lifetime Number of Jobs by Educational Level (Organize

        Data by Gender and Education)

          A. Test to determine whether there is interaction between gender and education

               in holding jobs.                                                                                     

          B. Test to determine whether there are differences in holding jobs between men

                and women.

           C. Test to determine whether there are differences in holding jobs between the

                educational levels.

ERF Enterprises provides comprehensive AV services to institutions in the State of Colorado. Their customers fall into 3 categories - Hospitals, Schools and Hotels

ERF's Executive Vice President of Operations, Jennifer Murray, has noted that the Hotel business, while profitable, seems to take a lot of ERF's support resources

Ms. Murray has asked for your support in getting a better picture of the profitability of each of the 3 lines of business

She provides the following data on the support activities of ERF for a 12-month period

The average support-resource consumption by category is provided below:

Excluding the cost of support, the average profitability of each category is given below:

Q1. Provide Ms. Murray with a an activity-based analysis of the profitability of each category of customer

Q2. After reviewing the data and analyses, what advice may be given to service personnel to improve profitability of the category with the lowest profit (after support cost)?

Is there some unusual explanation for high activity levels which could be further investigated? What creative questions could be asked?          

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y ˆ = b 0 + b 1 x y^=b0+b1x , for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 0.5 0.5 1.5 1.5 2 2 2.5 2.5 3.5 3.5 4 4 5.5 5.5 Overall Grades 96 96 94 94 90 90 86 86 85 85 80 80 70 70 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable y ˆ y^ is given by? Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false. Determine the value of the dependent variable y ˆ y^ at x=0 x=0 . Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.