CorrelationsTime toEngineMiles per DisplacementAccelerateVehiclefrom 0 to 60(cu. inches) Horsepower Weight (Ibs.) mph (sec)-.789GallonMiles per GallonPearson Correlatio-.771**-.807*.434**Sig. (2-tailed).000.000.000.000N398398392398398Engine Displacemen Pearson Correlatio(cu. inches)-.789**1.897**.933**-.545Sig. (2-tailed).000.000.000.000N398408400406406HorsepowerPearson Correlatio-.771*.897*1.859*-.701*Sig. (2-tailed).000.000.000.000N392400400400400Vehide Weight (Ibs.) Pearson Correlatio-.807.933.859*11-.415Sig. (2-tailed).000.000.000.000398408400406408Time to AcceleratePearson Correlatio.434*-.545*-701-4151from 0 to 60 mph (se Sig. (2-tailed).000.000.000.000N398408400408406**. Correlation is significant at the 0.01 level (2-tailed).What two words would you use to describe the relationship between horsepower and vehicle weight?

Answered: Image /qna-images/answer/aae77e53-e21b-4a1c-9ea2-c129cadcb8cb.jpg

Answered: Correlations Time to Accelerate Vehicle…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Variables Mean SD Honesty Profanity self report Profanity used Honesty 7.63 3.00 (0.79) Profanity self report 6.51 2.56 0.34*** (0.84) Profanity used 4.09 2.61 0.20** 0.46*** (-) Profanity liked 1.60 1.62 0.13** 0.41*** 0.45*** * p < .05. ** p < .01 *** p < .001. Based on the results of this table, is there evidence to reject the null hypothesis that there is no correlation between using profanity, as assessed by any of the three profanity measures, and honesty? a. Yes, because all 3 correlations between honesty and the measures of profanity have asteriks that…
Source Value Std_Err Intercept 101994.90 5224.233 19.523 t P_value <0.0001 Female -24711.92 7127.380 -3.467 0.001 Children 11815.69 2649.253 4.460 <0.0001 FemalexChildren -14029.03 3792.992 -3.699 <0.0001 In an attempt to see the difference in the impact an extra child in the house hold has on married females income vs married males income for someone with a Masters Degree a researcher ran the regression shown above. The variable Children is the number of own children in the household. a. What kind of term is the FemalexChildren variable? A. Difference in Mean B. Difference in Difference C. Quadratic D. Difference in Slope E. Nonlinear
Hard water In an investigation of environmental causesof disease, data were collected on the annual mortalityrate (deaths per 100,000) for males in 61 large towns inEngland and Wales. In addition, the water hardness wasrecorded as the calcium concentration (parts per million,ppm) in the drinking water. a) What are the variables in this study? For each, indi-cate whether it is quantitative or categorical and what the units are. b) Here are histograms of calcium concentration and mor-tality. Describe the distributions of the two variables.
With what type of data (scale of measurement) might you apply Chi Square? Describe Chi Square and give an example of when you might use the Chi Square test.
Data 6 5.5 7.5 4.5 6.5 5 6 6.5 7 5.5 6 6.5 4.5 5 6.5 6.5 6.5 7.5 5.5 5.5 6 6 6 5.5 6.5 6.5 4.5 4.5 5.5 6.5 1. From the data collected above, calculate the following. x̄ = _______ s = _______ 2. Using your sample mean, sample standard deviation, and histogram, what was the approximate theoretical distribution of the data you collected? X ~ _____(____,___) How does this histogram help you arrive at the approximate distribution?
Review 1/2/3/4/5/6
(4.5, 3) (4.5, 3) 3 A 2 1- (-1.75. 0) (1.5, 0 -2.58 4.5 3.5 -3 1.5 -1 0.5 0,5 15 25 3.5 4.5 -1) -3- Estimate the average rate of change from point C to point E. 4 7 2 21
Time(min) # of students 10-19 8 20-29 15 30-39 22 40-49 18 50-59 12 60-69 9 70-79 5 Calculate the: a. Mean b. Median c. Mode
Source Value Std Err P value Intercept 26272.327 674.907 38.927 <0.0001 BA 35451.244 580.632 61.056 <0.0001 Female -17064.762 495.537 -34.437 <0.0001 FemalexBA -10509.614 824.520 -12.746 <0.0001 Age 533.753 14.074 37.925 <0.0001 Hours -1.698 0.878 -1.934 0.061 In an attempt to evaluate the difference in the impact of a degree on income by gender a researcher filters their data down to just individuals with a High School Diploma or a Bachelors Degree and gets the results shown above. a. How much does a Bachelors Degree increase the income for a woman? b. How much is the difference in the impact of a Bachelors Degree for women compared with men? c. What would the income be for a 52 year old male with a Bachelors Degree, who works an average of 50 hours a week?
determine if the frequency of deficiencies of variable (significant medications) are statistically significantly different between for-profit and non-profit nursing homes, interpret the results for the chi-square?
eat out or in The overall change in the consumer price index is a weighted average of changes in various categories. on november 19, 2011 the boston globe reported the data displayed in figure 5.7. the change in the CPI for food is a weighted average of the change in the cost of food at home and the change in the cost of food away from home. find the weights.
QI For the frequency table, the Root mean square (RMS) is: Class limit 12-14 15-17 18-20 21-23 24-26 frequency 12 24 36 18 6.

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