Here are the winning margins for the first 41 Super Bowl games. Construct a well labeled boxplot. 25, 19, 9, 16, 3, 21, 7, 17, 10, 4, 18, 17, 4, 12, 17, 5, 10, 7, 27, 3, 27, 29, 22, 36, 19, 32, 4, 45, 1, 13, 35, 17, 23, 10, 14, 7, 15, 7, 27, 3, 27
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- An important factor for used car buyers when determining the value of a car is how far the car has been driven. To examine this, a used car dealer randomly selects 50 five-year-old Kia Sportage cars that have been sold at auction during the past month. Each car was in top condition and equipped with automatic transmission, GPS and air conditioning. The following Microsoft Excel output analysis of these data shows the price ($'000) and the number of kilometres ('000Km) on the odometer. Use these results to answer the questions on the next page. Distance Versus Price of Used Kia Sportage 35 30 25 30 40 50 60 70 80 90 Distance ('000km) Regression Statistics t Stat P-value 15.82319 3.51E-15 2.563823 0.04773 -9.61369 3.28E-10 Price ($'000) 10 5 0 20 Multiple R R Square Adjusted R Square Standard Error Observations Intercept Distance 0.879723 0.773913 0.765539 3.460695 29 Coefficients Standard Error 40.56784 -0.45886Compute the least-squares regression line for predicting the right foot temperature from the left foot temperature. Round the slope and y-intercept values to four decimal places.a residual is the distance between the data value in the line of best fit true or false?
- please fill in blank a) can be used, should not be used b)a linear correlation, any correlation c)do not require, requireLast ride Consider the roller coasters described inExercise 26 again. The regression analysis gives themodel Duration = 64.232 + 0.180 Drop.a) Explain what the slope of the line says about howlong a roller coaster ride may last and the height of thecoaster.b) A new roller coaster advertises an initial drop of200 feet. How long would you predict the rides last?c) Another coaster with a 150-foot initial drop advertisesa 2-minute ride. Is this longer or shorter than you’dexpect? By how much? What’s that called?Compute the least-squares regression line for predicting the right foot temperature from the left foot temperature. Round the slope and y-Intercept values to four decimal places.
- The two common statistical tests use in the analysis of data, the parametric and the non-parametric tests. Enumerate and discuss the specific test types of each of the common statistical tests and describe when to use each.Explain, whether the data can be calculated if the hypergeometric distribution is not known the number of populations?Define Method of Variation of Parameters ?
- please help neat and clean answerMUST READ PROMPT! Transcription factors are genes that code for proteins that regulate the transcription of multiple other genes. Studies show how transcription factor Zscan1O controls aspects of development in the mice. There was two lines of mice examined, both genetically identical except that one (mutant) carries a mutation in Zscan1O transcription factor The normal line was the control line. They measured the length of one tibia per mouse in mice randomly sampled from each line and recorded the genetic sex of each mouse. Keep in mind! Longer tibias have relation with longer legs. A) which group has the biggest median? B) what are the variables? C) are the sample sizes about the same across all the groups? And why? D) what info would be reported in the prompt above to calculate up to a 95% confidence interval for each group? E) which direction is the F.Mutant group skewed in?Q4 Deep leaming is a type of Machine Learning, inspired by the function and structure of a human brain, where machines can learn by experience and acquire skills without any human involvement. Table Q4 shows the relation of data amount and the performance of a deep learning technique capability to perform COVID-19 face mask identification among crowd in Pasar Rabu, Taman Universiti, Parit Raja. Table Q4 Independent variable Dependent variable Face mask identification Set of experiment Training data size, x аccuracy (%), у 1 100 30 200 40 3 300 50 400 55 500 60 6. 600 70 7 700 75 8 800 80 9 900 85 10 1000 90 10 10 10 Given > r; = 4600, = 635, > = 2860000 i=1 i=1 i=1 10 10 = 43875, >r yi = 322000 (a) Determine Sr, Syy, and Sry (b) Determine B. B. (c) Determine the estimated regression line equation.