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- . Prepare a scatter diagram for each of these data sets and then express in words the apparent relationship between the two variables. Put the first variable on the horizontal axis and the secondvariable on the vertical axis.b. Temperature (°F) 65 63 72 66 82 58 75 86 77 65 79Error rate 1 2 0 0 3 3 1 5 2 1 3Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F p Regression 2 77.907 38.954 4.14 0.021 Residual Error 62 583.693 9.414 Total 64 661.600 a-1. Determine the standard error of estimate. (Round your answer to 3 decimal places.) a-2. About 95% of the residuals will be between what two values? (Round your answers to 3 decimal places.) b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.) b-2. Interpret the coefficient of multiple determination. (Round your answer to 1 decimal place.) Determine the coefficient of multiple determination, adjusted for the degrees of freedom. (Round your answer to 3 decimal places.) Prev Question 5 of 30 Total5 of 3ns Management || fall20 Random variation is also known as common cause variation. Select one: O a. TRUE O b. FALSE
- 6. List and explain in detail why we include disturbance term or error term in the model?8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True FalseBased on the following regression ANOVA table, what is R2? Source df SS MS F Regression 4 1793.2356 448.3089 7.4854 Residual 45 2695.0996 59.8911 Total 49 4488.3352 0.6005 0.3995 0.8807 0.7230
- DEFINE: Typical descriptive research measuring tools 1. Descriptive statistics 2. Frequency table (with frequency and percent) 3. Charts (pie chart, bar chart, histogram, etc.) 4. Mean interpretation table (with the scale, its range for measurement purposes, scale description, and the mean interpretation) Typical correlational and comparative research measuring tools 1. Correlations 2. t-Test (paired samples, independent samples t-test) – for independent samples t-test, the grouping variable should be two categories only. 3. Analysis of variance (ANOVA) 4. Scales reliability test (interval or ratio scaled data) 5. Factor analysis 6. Normality test 7. Multiple regression analysisstandard Deviation (σ) = SQRT(Variance) = SQRT(6) = 2.45 This is not clear for me. How did you do it?S Book Hint Print eferences Problem 13-2 (Algo) A metal fabricator produces connecting rods with an outer diameter that has a 1 ± 0.02 inch specification. A machine operator takes several sample measurements over time and determines the sample mean outer diameter to be 1.004 inches with a standard deviation of 0.006 inch. Calculate the process capability index for this example. (Round your answer to 3 decimal places.) Process capability index
- can you help me answer this questions: 1-A moving average is the average of the observations in the past few periods, where the number of terms in the average is the span. True False 2- All nominal data may be treated as ordinal data. False True 3 - Phone numbers, Social Security numbers, and zip codes are typically treated as numerical variables. True False 4 - Correlation is useful only for: a.measuring the strength of a linear relationship. b.conveying the same information in a simpler format than a scatterplot. c.measuring the strength of a nonlinear relationship. d.assessing the weakness of a linear relationship. 5 - Which of the following will give the value for the third quartile? a. QUARTILE.INC(array, 0.25) b.QUARTILE.INC(array, 0.75) c. PERCENTILE.INC(array, 0.75) d.DECILE.INC(array, 0.30) 6 - _______ sampling applies to populations that are divided into natural subsets and allocates the appropriate proportion of samples to each subset.…Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run of resistors of 1,000 ohms each. Use Exhibit 13.7. To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in each sample. The complete list of samples and their measured values are as follows. Use three-sigma control limits. 1 2 3 4 5 6 7 SAMPLE NUMBER 1 2 8 9 10 11 3 4 5 12 13 6 7 14 15 8 9 10 11 12 13 14 a. Calculate the mean and range for the above samples. (Round "Mean" to 2 decimal places and "Range" to the nearest whole number.) 15 READINGS (IN OHMS) 1094 983 1026 1013 988 1014 991 1030 995 991 1023 1014 982 970 1016 986 1811 1030 1027 1826 983 1817 1004 1817 1018 995 982 994 1008 1897 978 976 1016 977 1010 987 994 981 1820 1001 1004 995 1015 1026 984 1030 978 1017 974 995 1007 988 995 970 1004 1028 1012 1019 983 990 Sample Number Mean RangeY9 15. Sampling consumer data may be your only option due to time and cost constraints. Yet that will lead to “sampling error”, thus we do “confidence intervals” to lay out our certainty levels of our data findings. Please calculate a confidence interval for the percent of your customers you expect to go unsatisfied. You surveyed 76 customers and found that 22% of them were unsatisfied. You wish to be 97% confident when stating this interval range. The population of customer data is 600 surveys. Round your answers to the thousandth place. Hint: FPCF?