(Imeuic tons) UI impoted lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linea imported correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest hat imported lemons cause car fatalities? Lemon Imports Crash Fatality Rate 230 15.8 264 15.7 358 15.4 484 15.3 530 14.8 ..... What are the null and altemative hypotheses? O A. Ho p=0 H, p>0 O B. Ho p=0 H, p<0 OC. Ho p#0 Hip=0 O D. H,: p=0 H,: p±0 Construct a scatterplot. Choose the correct graph below. OA. OB. OC. OD. AY 17- AY 17- Q AY. 17- AY 17- 16- 16 16- 16- of of 15- 15 of 15- 154 of 14- 14- 200 400 600 400 600 14- 14- 200 200 400 60 200 400 6óo The linear correlation coefficient is r= (Round to three decimal places as needed.) The test statistic is t= (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value is than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between lemon imports and crash fatality rates for a significance level of a=0.05. Do the results suggest that imported lemons cause car fatalities? O A The results do not suggest any cause-effect relationship between the two variables. O B. The results suggest that imported lemons cause car fatalities. OC. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. O D. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. Click to select your answer(s). H P
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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