X ƒ Example 7. From the following data find quartile deviation and its coefficient. 20-25 25-30 12 15 10-15 8 15-20 10 30-35 10 35-40 7 40-45 8 45-50 5
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- use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?Use the table below to answer the following questions: (a) Find the value of the linear correlation coefficient. (b) Assuming a 0.01 significance level, find the critical values. (c) Is there sufficient evidence to support the claim of a linear correlation? Explain your reasoningX Y 14 25 26 28 19 27 13 21 28 31 23 24 30 31 26 27 19 29 Mean. 22 27 Std. Dev 6.08 3.28 Correlation 0.76 What is the tcritical value using the direct difference approach?
- NoneData for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old 30 22 23 31 27 21 20 19 28 16 New 25 18 25 26 23 18 17 16 31 19 Based on the previous values you found, what can you conclude regarding the linear correlation between the Old and New test method? Since the absolute value of r is ____________ the positive critical value, there _____________ between the Old and New test method for fuel economy rating.Which one of the following statements is true? The correlation coefficient is not affected by outliers. O In the context of correlation and regression, as long as the correlation is strong, it's okay to infer that the explanatory variable causes the response variable. O The "P" in P-value stands for "practical." O The slope in a regression equation tells us what we predict y to be if x is equal to 0 O It is not necessary to know the population size in order to compute the standard deviation of the sampling distribution.
- Based on the line of best fit for the data below, select which choice best predicts the y-value when the x-value is 10. -80 -75 -70 -65 -60 -55- -50+ -45- -40- -35 -30- -25 -20+ -15 -10 -5- 0 O O O O 96 80 91 85 8 10 11 12W 1. X A tablet computer manufacturer claims that its batteries last an average of 10.5 hours when playing videos. The quality control department randomly selects 20 tablets from each day's production and tests the batteries by playing a video repeatedly until the battery dies. The quality control department will reject the batteries from that day's production run if the mean battery life is less than 10.5 hours. Here are the data from one day: 10.3 10.0 10.3 10.6 10.5 10.3 10.1 10.6 11.5 10.3 10.3 12.7 10.6 11.3 13.9 12.5 12.4 10.8 10.2 12.2 The quality control department will test the hypotheses where p true mean battery life (in hours) while playing videos for tablets made during that day. Check that the conditions for performing the test are met. Assume the population is normally distributed. 3 e d C Ho:μ = 50 Ha:μl < 50 $ 4 f 25 % V t 6 (6 b Y h ∞ 7 u n * 00 8 ¡ m ( 9 k O Sign out 1 р Mar 29 7Q6 Given a data set where the response variable is normalized ( centered ) and it is know that the correlation between the individual predictor variable & response variable is, r 0.9. And, it is found that S,-10 and X=100. (i) Find B= a. Write the formula for B= (ii) Find B= (iii) (iv) Find the value the predictor, which yields the response variable to be 1 X Q7 There are several assumptions which are needed to be verified prior to using a univariate regression model and/or doing any traditional model analysis ( e.g. need to verify these assumptions prior to doing the actual regression or F/T tests etc ). Write down the two most essential mathematical assumptions needed by explaining them in a brief written statement (i) 1" = (ii) 2* = answer both questions plese
- X Y 14 25 26 28 19 27 13 21 28 31 23 24 30 31 26 27 19 29 Mean. 22 27 Std. Dev 6.08 3.28 Correlation 0.76 What is the t value using the direct difference approach? (report positive t-value)IQ tests supposedly measure our intelligence. They typically are ‘normed’ so that they have a mean of 100 and a standard deviation of 15. (Higher scores show higher intelligence.) Use the graph and use the z-score and percents from columns b and c in Table A, when relevant. If you scored 132, what is your z-score? (Interpret.) Use table A X, z(a), (b), and (c) X z (a) (b) (c) and use the graph! Write down or save your response to use in Part 2 of this quiz. Group of answer choices -2.53 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. 2.13 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. -2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 0.57 percentile rank and 99.43% of people scored smarter than me. 2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 99.43 percentile rank…The linear coefficient of correlation, a measure of the relatedness of two variables is defined by r= m(s, /s,), where s, and s, are the standard deviations of the X-values and y-values, respectively. Compute r for the given data. 3 7 7 10 7 3 8 y 14 11 10 7 8 12 10 7 = (Round to the nearest thousandth as needed.) View an example Get more help - Clear all Check answer Help me solve this sise(4);" DPearson stv li 00 26 MacBook Pro
