The following graph plots data for tax per gallon and internal miles. Carefully explain what the graph is about, and what it captures.   What are the limitations of the correlation and what can a researcher do to overcome these?

True or False: If you are asked to describe the type of data represented by distances from gas stations to your home, you would say that the data is both qualitative and continuous.

The accompanying data give the percentage of new vehicles bought with four-wheel drive, region by region for each of 48 regions in a country. The data include the average temperature in that region in January. Complete parts (a) through (d) below. E Click the icon to view the data on temperatures and percent four-wheel drive. (a) Do you expect the correlation between these variables to be positive or negative? Explain your choice. O A. The correlation should be positive, because higher temperatures in winter mean more snow and thus more need for four-wheel drive. O B. The correlation should be negative, because lower temperatures in winter mean more snow and thus more need for four-wheel drive. O C. The correlation should be positive, because higher temperatures in winter mean more snow and thus less need for four-wheel drive. O D. The correlation should be negative, because lower temperatures in winter mean more snow and thus less need for four-wheel drive. (b) Draw the associated…

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?

The graph below is a scatter plot between liabilities and assets, bothexpressed in millions.   i. Critically assess this scatter plot explaining about the relationship betweentwo variables.ii. A researcher claims that the correlation is showing that changes in assetscause changes in liabilities. Is he right or wrong? Explain your answer.

See picture

Hello! Please look at the image attached. There are 6 correlation scatter graphs which each represents a continent. Please analyse the graphs, as what they indicate and what they show as in the relationship between obesity% and life expectancy. Thank you

Answer clearly

examscores.csv data below 'Student', 'L', 'L/R', 'L/C', 'C'1,7,5,9,172,2,2,12,193,2,3,2,264,6,11,17,15,16,16,12,476,11,11,20,277,9,3,20,-88,0,,31,109,4,,21,2010,2,,,

The scatterplot below shows the relationship between the percentage of the population of a state (Washington, DC included) that has at least a bachelor’s degree and the median income (in dollars) of the state for 2009. Use the scatter plot to answer the questions that follow. a. Describe the correlation between the percentage of the population with at least a bachelor’s degree and the median income, being sure to specifically note the strength and direction of the correlation. b. One observation seems to stick out from the rest. Circle it on the scatterplot. This particular observation is for Washington, DC. Can you think of any reasons why Washington, DC might have a high percentage of residents with a bachelor’s degree, but a lower than expected median income?  c. The correlation coefficient for this scatterplot is 0.718. Is this value high enough to prove that there is, in fact, a correlation between the percentage of residents of a state with a bachelor’s degree and the median…