(USE R for all the questions) Without much explanation*, let's put the data into two variables called slength and swidth: slength <- iris$Sepal.Length[1:50] swidth <- iris$Sepal.Width[1:50] (a) Now perform a correlation test of sepal length vs. sepal width. Incidentally, should this test be one sided? Why or why not? (b) Now perform the correlation test again, this time do sepal width vs. sepal length. The results should be identical. Why?? (c) Create a scatterplot of the data.

can you show me what a symmetric histogram would like like

Explain, whether the data can be calculated if the hypergeometric distribution is not known the number of populations?

What value should go in the overlap of the two circles? (that's where the 'X' is). Explain your reasoning

If Cov(X,Y)=-99, o? = 121 and o = 81 then, coefficient of correlation r(X, Y) will be %3D Select one: O +1.000 O - 1.000 O +0.0101 0.0101 PREVIOUS PAGE re to search 立

A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?

Please help

Data were recorded for 117 months on a household's gas bill (in dollars) and the average monthly temperatures for its neighborhood. The mean monthly temperature was 48.7°F with a standard deviation of 20.6. The mean gas bill price was $81.20 with a standard deviation of 66.5. The correlation coefficient between monthly temperature and gas bill price is -0.92. 22) Determine the correct value of the slope for the linear model that predicts gas bill price from monthly temperature and interpret it in context. The slope is - 2.97. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $2.97. The slope is - 0.28. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $0.28. The slope is - 2.97. For every one dollar increase in gas bill price, the monthly temperature is predicted to decrease by 2.97°. The slope is - 0.28. For every one dollar increase in gas bill price, the monthly temperature…