Sppose we have collected a sample with following characteristics: Total observation = 12 f 20 y = 10 %3D I(x-1)² = 275 E(y-y)² = 539 %3D X(x-)(y-9) = 550 Caloulate the sample correlation coefficient r. Round two digits after the decimal
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- We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and population (POP) on CO2 emiisions (CO2) in Cyprus. The results are as follows, Dependent Variable: CO2 Method: Least Squares Date: 04/20/17 Time: 09.46 Sample: 1990 2013 Included observations: 24 Variable Coefficient Std. Error t-Statistic Prob. GDP ENERGY POP 2.002813 0.022114 -0.734352 0.203927 6.458672 0.011872 0.328388 0.293686 0,310097 1.862670 -2.236233 0.694371 0.7597 0.0773 0,0369 0.4954 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.825079 Mean dependentyar 0.798841 0.048515 Akaike info criterion 0.047074 Schwarz criterion 40.75460 Hannan-Quinn.criter. 31.44583 Durbin-Wats on stat 0.000000 3.625982 0.108170 -3.062883 -2.866541 -3.010793 1.410912 S.D. dependent yar a Write down the economie function for the above estimation by using the information obtained from above table| b- Write down the economic model for the above…Martha’s Wonderful Cookie Company makes a specialsuper chocolate-chip peanut butter cookie. The companywould like the cookies to average approximately eightchocolate chips apiece. Too few or too many chips distortthe desired cookie taste. Twenty samples of five cookieseach during a week have been taken and the chocolatechips counted. The sample observations are as follows: Construct an -chart in conjunction with an R-chart using 3 limits for this data and comment on the cookie-production process. Samples Chips per Cookie1 7 69 852 7 7 8 8 103 5 57 684 4 59 97Values of height in inches (X) and weight in pounds (Y) are recorded froma sample of 200 male college students. The resulting summary statistics arex̄ = 71.2 in, ȳ= 164 lb., sX = 1.9 in, sY = 16.4 lb., sXY = 22.54 in. X lb.,and rXY = 0.8. Convert these statistics to the metric system (meters andkilograms).
- OA large city hospital conducted a study to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was selected and the following data were collected. D Excel file: data14-13.xlsx Distance to Work Number of Days (miles) Absent 8. 8. 9. 8 6. 10 12 14 14 4 18 If required, enter negative values as negative numbers. a. Select the correct scatter diagram for these data. A. Number of Days Absent 10+ 8+ . 6- 2+ 8. 10 12 14 16 18 20 Distance to Work (miles) 4.What do you mean by Scatterplots, the Sample Covariance, and the Sample Correlation?Product Quality Value for Money Ease of use 0.8 0.6 0.7 21 0.2 0.5 0.8 3. 0.6 0.3 0.5 4 (Proposed) 0.4 0.7 0.1 Importance weight I 1.6 A company conducted a survey of shoppers to understand customer buying habits and determine the share of shoppers that a new product might attract. The customer rated three existing products and one proposed new product on three dimensions: 1.Quality, 2. Durability, and 3. Ease of use. The results of this survey are shown in the following table. The expected market share for the new proposed product (product number 4) is: (2.0) A. 46.3 В. 25.2 C. 15.1 D. 11.6 20.0 E.
- A basket contains 1460 fruits. Using stratified sampling method, a sample of 150 fruits from each type, apples, bananas, grapes, plums and oranges was selected. If the basket contained 584 plums, how many plums would be apart of the sample of 150.The last digit of the heights of 67 statistics students were obtained as part of an experiment conducted for a class. Use the following frequency distribution to construct a histogram. What can be concluded from the distribution of the digits? Specifically, do the heights appear to be reported or actually measured? Digit Frequency 0 15 5 5 1 T Choose the correct histogram below. O A. O B. O C. D. 18- 56789 0123456789 ܩܫܠ 6789 123456789 Are the data reported or measured? O A. The data appears to be measured. The heights occur with roughly the same frequency. O B. The data appears to be measured. Certain heights occur a ..Now suppose that you instead observe the value of exports for all the different products (e.g., corn, soybeans, pork, dairy products, etc.) that Colombia purchases from the US from 2000 to 2019. What type of data is this? Group of answer choices Panel Random sample Time-series Cross-sectional
- A random sample of data for 7 days of operation produced the following (price, quantity) data values:Price per Gallon of Paint, X Quantity Sold, Y 10 100 8 120 5 200 4 200 10 90 7 110 6 150a. Prepare a scatter plot of the data.b. Compute and interpret b1.c. Compute and interpret b0.d. How many gallons of paint would you expect to sell if the price is $7 per gallon?The OLS estimation of the relationship between GRADE and HOURS of studying gives the following fitted equation: GRADE^ = 38.15+0.04*HOURS It is known that TSS = 7101 and RSS = 2527. Calculate R² (Use two decimal places without rounding) Answer:In the following scenario what is the population and sample. In a study of Monarch butterflies, 55 milkweed plants in a Yosemite Valle were randomly sampled. The average number of Monarch eggs per plant was 0.73. [ Select ] The population of interest is [ Select ] The sample is MacBook Pro 888 ::: 23 & 4 6. 7 E R T Y U F G H J K C V comman V - * 00