Find a best fit line for ice cream consumption and murders. This is a classic example of "spurious" correlation. Ice Cream     2,1,2,3,2,4,5,3,2,1,2,1 Murders     8,21,16,18,22,25,22,30,20,10,14,9

I need help with something regarding this problem.  The National Sleep Foundation recommends that adults aged 18 to 64 get an average of 8 hours of sleep per night. A survey of sleep hours was taken during a Statistics class. The data is listed below:   4, 5, 5, 5, 5.5, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 9, 9, 9, 10, 10   Do we have enough evidence at the 0.05 significance level to say that statistics students tend to get less sleep than the recommended average of 8 hours per night?   How would I get the degrees of freedom?

A newspaper collected information on schools in its circulation area in order to compare their quality. Two Which is a true statement regarding Springside? measures the newspaper collected for each school, O Springside does not affect the correlation. mean class size and mean score on a statewide O Springside weakens the correlation shown in the scatterplot. reading exam, are shown in the scatterplot. One school in the report, Springside Elementary, is labeled in the graph. O Springside strengthens the correlation shown in the scatterplot. O Removing Springside would increase the value of the correlation coefficient. Comparing Schools 90 Springside 70 60 50 40 Save and Exit Next Submit Mark this and return ContentViewers/AssessmentViewer/Activity# ch hp Mean State Test Score

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

ab! ourses The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 13.6 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 13.6 cm, what is the single value that is the best predicted height for that person? "se Hom E Click the icon to view the technology output. abus The single value that is the best predicted height is cm. endar (Round to the nearest whole number as needed.) entation ktbook a-F on unouncem ssignment: cudy Plan radebook Hydrogen Report.pdf Enter your answer in the answer box. Screen Shot 20-11...9.53 P 5,981 10 tv MacBook Pro (5

In running a Pearson correlation, you notice that there are a few outliers. Please describe the next course of action, if any, for the dataset and explain your reasoning.

A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…

A flight travels daily from Pittsburgh to San Antonio. The following list gives the flight's arrival time (in minutes) relative to the scheduled arrival time for a selection of 10 days. (A negative number means the flight arrived that many minutes early.) -8, 9, -9,-10, 26, 36, -1, 11, 21, 23 Send data to calculator not (a) What is the median of this data set? If your answer. an integer, round your answer to one decimal place. (b) What is the mean of this data set? If your answer is not an integer, round your answer to one decimal place. Ozero modes (c) How many modes does the data set have, and what are their values? Indicate the number of modes by clicking in the appropriate circle, and then indicate the value(s) of the mode(s), if applicable. one mode: 0 two modes: and 5 2 Continue acer esc ! @ 3 $ 4 % 5 6 & 7