Give examples of two variables that have a perfect positive linear correlation and two variables that have a perfect negative linear correlation. Choose the correct answer below.     A.

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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.5 7 3.3 2.5 2.8 2.2 0.6 14.2 11.6 10.3 7.1 6.4 6.7 6.2 4.8 thousands of automatic weapons = murders per 100,000 residents This data can be modeled by the linear equation ŷ = 0.84x + 4.33 a. How many murders per 100,000 residents can be expected in a state with 9.1 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents

Need help with the last answer in the red box as it is wrong.

Construct a scatter plot of the data in the table AND create a linear model. 2 10 12 10 14 14 16 18 18 24 a EGO (99- 2.

Twelve husbands were asked how much housework they completed last week and how many children were in the home. Use the following data to complete the questions in this section. Write out the linear model. Children Husband’s Housework   Children Husband’s Housework 2 4   4 6 1 1   1 3 3 0   3 5 5 4   2 3 1 5   2 1 5 7   4 3

A university would like to examine the linear relationship between a faculty​ member's performance rating​ (measured on a scale of​ 1-20) and his or her annual salary increase. The table to the right shows these data for eight randomly selected faculty members. Complete parts a and b.

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Q4. What is the true interpretation for R Square? A) 49% of the correlation of GDP per capita explains by independent variables. B) 49% of the correlation of independent variables can explain by GDP per capita. C) 49% of the variation of GDP per capita explains by independent variables. D) 49% of the auto-correlation of independent variables can explain by GDP per capita.

The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? OA. The variable "weekly time spent watching television" is likely normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. OC. The variable "weekly time spent watching television" is likely uniform, not normally distributed. O D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. (b) According to a certain survey, adults spend 2.25 hours per day watching television on a weekday. Assume that the standard deviation for…