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What do you mean by Scatterplots, the Sample Covariance, and the Sample Correlation?
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- what is an example of a purchases requisition sample? give a sample of purchases reuqisiton1. The following data represent the number of days absent and the final grade for a sample of college students in a general education courses at a large state university. 1 2 3 5 6 7 8 9 # of absences 0 Final Grade 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2 a. Test whether there is a linear correlation between the number of absences and the final grade, use 0.01 level of significance. Assume requirements satisfied. b. Find the equation of least square regression line. c. Find the best predicted final grade for a student who misses five class periods.if the relationship between two variables is linear and the coefficient of determination (R2) has a value near 1, the scatter diagram has what appearance?
- 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…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?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 97
- When considering data metrics, the first task is to define just what we want to occur and what we need to measure. True FalseYou need to research about (Personal finance management) using a sample . Describe the steps to be taken in order to use the stratified sampling technique .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 commercial airline is analyzing the price scale for round trip flights between New York and Pennsylvania. The sooner the c buys the ticket, the cheaper the ticket price is. The sales manager collected information for the last year on how many cust bought their tickets at each price: Ticket Price (in dollars) # of Customers (in thousands) 5 15 23 27 20 89 125 135 150 178 198 10 What is the coefficient of correlation between the ticket price and the number of customers purchasing at that price? Answer:The birthweight (in kg) of 55 babies are tabulated in the frequency distribution below: Birthweight (kg) Class Midpoint Frequency M (1– 1.5| (1.5-2 1.25 6. 1.75 10 (2- 2.5) 2.25 1 (2.5-3) 2.75 15 10 (3-3.5] 3.25 3. (3.5- 4) 3.75 55 Total Calculate the relative frequency of the class interval (2 - 2.5).Calculate the coefficient of variation for the following sample data: 10 8 11 7 9