To test whether there is an association between overtime hours of employees with the value of performance obtained, then a random sample was taken at an agency of 12 employees. The 12 employees were then asked about their average overtime hours during the day and the value of the performance obtained. The average data of overtime hours per day and the performance values obtained by the employees are as follows

Question:
a. Look for the association value between overtime hours and the performance value
b. Test at a 5 percent significance level that there is a positive association between overtime hours and the value of performance.
c. Draw the test results from the answers (a) and (b) above

Sectors will at some time interact with other sectors as part of their financial dealings. Two sectors which will interact with each other are Accounting-Bookkeeping.Describe the interaction which takes place between them. List at least two benefits that interaction between these parties can have for financial services and/or their customers.

A financial planner tracks the number of new customers added each quarter for a 6 year period. The data is presented below:

Year               Quarter                      New                Year               Quarter          New

2014               I                                   31                    2017               I                       69

                        II                                  24                                            II                      54

                        III                                 23                                            III                     46

                        IV                                16                                            IV                    32

2015               I                                   42                    2018               I                       82

                        II                                  35                                            II                      66

                        III                                 30                                            III                     51

                        IV                                23                                            IV                    38

2016               I                                   53                    2019               I                       91

                        II                                  45                                            II                      72

                        III                                 39                                            III                     59

                        IV                                27                                            IV                    41

Create a simple linear trend regression model. Let t=0 in 2013: IV. This is a computer deliverable.

(a) Interpret the slope coefficient.

(b) Test to see if the number of new customers is increasing over time. Use alpha = 0.01.

(c) Test to see if the model has explanatory power. Use alpha = 0.05.

(d) Forecast the number of new customers in the first and second quarters of 2020.

Create a multiple regression equation incorporating both a trend (t=0 in 2013: IV) and dummy variables for the quarters. Let the first quarter represent the reference (or base) group. Complete (e) thru (h) using your results. This is a computer deliverable.

(e) Test to see if there is an upward trend in new customers. Use alpha = 0.01.

(f) Test to see if the model has explanatory power. Use alpha = 0.05.

(g) Forecast the number of new customers in the first and second quarters of 2020.

(h) Test for the existence of first order autocorrelation, use alpha = 0.05. The calculated dw = 1.19.

# Reading the data into R:

my.datafile <- tempfile()
cat(file=my.datafile, "
 71 15 
 74 19 
 70 11 
 71 15 
 69 12 
 73 17 
 72 15 
 75 19 
 72 16 
 74 18 
 71 13 
 72 15 
 73 17 
 72 16 
 71 15 
 75 20 
 71 15 
 75 19 
 78 22 
 79 23 
 72 16 
 75 20 
 76 21 
 74 19 
 70 13 
", sep=" ")

options(scipen=999) # suppressing scientific notation

simpbasketball <- read.table(my.datafile, header=FALSE, col.names=c("height", "goals")) 

COMPUTER CALCULATIONS:

I need to know how to code in R for the solutions, not by hand.

2. Look at the data in Table 7.18 on page 368 of the textbook. These data are also

given in the SAS code labeled “SAS_basketball_goal_data” and R code labeled basketball goal data .

The dependent variable is goals and the independent variable is height of basketball players.

Complete a SAS /R program and answer the following questions about the data set:

(a) Does a scatter plot indicate a linear relationship between the two variables?

Is there anything disconcerting about the scatter plot? Explain.

(b) Fit the least-squares regression line (using SAS / R) and interpret the estimated slope

in the context of this data set. Does it make sense to interpret the estimated intercept? Explain.

(c) For these data, what is the unbiased estimate of the error variance? (Give a number.)

(d) Using the SAS / R output, test the hypothesis that the true slope of the regression line

is zero (as opposed to nonzero). State the appropriate null and alternative hypotheses,

give the value of the test statistic and give the appropriate P-value. (Use significance

level of 0.05.) Explain what this means in terms of the relationship between the two

variables.

(e) Using SAS / R, find a 95% confidence interval for the mean basketball goal for

a player with a height of 77 inches. In addition find a 95% prediction interval for

basketball goal for a player with a height of 77 inches.

1. Please list and discuss at least ten of the ‘PROPOSALS TO LOWER FUTURE DEFICITS’.Please rank these ten—or more than ten---from “best” to “worst”, in your opinion, and defend your ranking system.
2. What criteria are you using as you rank these proposals? Some guiding principles include
   a) what is fair? Which groups in our society and in our economy should ‘contribute more’--- either in terms of higher taxes, or lower benefits, from our government?
   b) which ideas would MINIMIZE THE HARM to the American people? (the idea being that we do not want to hurt the millions of people who are barely making ends meet right now)
3. c) which ideas are “big” ideas---in the sense that they would contribute “more” to deficit reduction, compared to other, competing ideas? Please include these “guiding principles” in your discussion, AND FEEL FREE TO INCLUDE OTHER PRINCIPLES AS WELL! 3. Why may it be wise to wait a year, or two, or three, or five, before implementing some of these proposals?   4. Why do some economists suggest that these ideas be part of a 20 year plan?

The SAT and the ACT are the two major standardized tests that colleges use to evaluate candidates. Most students take just one of these tests. However, some students take both. The data data34.dat gives the scores of 60 students who did this. How can we relate the two tests?

(a) Plot the data with SAT on the x axis and ACT on the y axis. Describe the overall pattern and any unusual observations.

(b) Find the least-squares regression line and draw it on your plot. Give the results of the significance test for the slope. (Round your regression slope and intercept to three decimal places, your test statistic to two decimal places, and your P-value to four decimal places.)

(c) What is the correlation between the two tests? (Round your answer to three decimal places.) (_______)

obs     sat     act
1       1104    23
2       786     16
3       668     18
4       1062    20
5       1025    21
6       1254    29
7       1183    21
8       908     12
9       837     22
10      695     12
11      1043    21
12      735     18
13      884     17
14      1269    28
15      968     21
16      1034    22
17      1070    25
18      826     19
19      750     16
20      1043    21
21      854     23
22      1063    26
23      866     21
24      1021    18
25      719     10
26      1134    27
27      932     20
28      1069    22
29      904     20
30      839     23
31      998     20
32      672     17
33      1199    26
34      775     22
35      1195    31
36      795     15
37      776     18
38      888     19
39      967     22
40      915     23
41      792     18
42      663     20
43      745     13
44      615     14
45      844     18
46      745     15
47      950     24
48      967     21
49      1258    27
50      983     21
51      915     21
52      1041    19
53      902     25
54      932     23
55      858     16
56      966     22
57      784     18
58      1082    27
59      868     20
60      992     24

some food service profesionals fed the best way to improve profits is to reduce costs. others feel that increasing revenue is the best way to increase profits. what are three steps managers can take to reduce current costs? what steps can a manager take to increase revenue?

(a) Taxes are primary revenue yielding tools of the Government of modern ages. You are required to state any three non-revenue objectives which the Government achieves by imposing taxation. (05) (b) List any five taxes which can be imposed by the Federal Government.

(solve in the context of pakistan)

Schedule of Cash Collections of Accounts Receivable

OfficeMart Inc. has "cash and carry" customers and credit customers. OfficeMart estimates that 30% of monthly sales are to cash customers, while the remaining sales are to credit customers. Of the credit customers, 20% pay their accounts in the month of sale, while the remaining 80% pay their accounts in the month following the month of sale. Projected sales for the next three months are as follows:

The Accounts Receivable balance on September 30 was $84,000.

Prepare a schedule of cash collections from sales for October, November, and December. Round all calculations to the nearest whole dollar.

----------------------------------------------------

Horizon Financial Inc. was organized on February 28. Projected selling and administrative expenses for each of the first three months of operations are as follows:

Depreciation, insurance, and property taxes represent $24,000 of the estimated monthly expenses. The annual insurance premium was paid on February 28, and property taxes for the year will be paid in June. 75% of the remainder of the expenses are expected to be paid in the month in which they are incurred, with the balance to be paid in the following month.

Prepare a schedule of cash payments for selling and administrative expenses for March, April, and May.

In a survey of ​1407 people, 1077 people said they voted in a recent presidential election. Voting records show that 74​% of eligible voters actually did vote. Given that ​74% of eligible voters actually did​ vote, (a) find the probability that among 1407 randomly selected​ voters, at least 1077 actually did vote.​ (b) What do the results from part​ (a) suggest?