I ONLY NEED HELP WITH PART G PLEASE!! Set up a free RStudio account at posit.cloud. At the start of your R session, you should enter the following commands. set.seed(1) e<-rnorm(n = 100, mean = 0, sd = 80) x<-seq(1,100,1) y<-10+15*x+e Follow the examples in the Panopto Videos to use R to obtain the values requested below. (As always, if you round your answers, make sure you do so correctly and keep at least three decimal places.) (a) The smallest value of y = (b) The largest value of y = (c) The standard deviation of y = (d) The mean of y = (e) The median of y = (f) The correlation between x and y = (g) Using the variable e as data, the p-value for a test of Ho μ0 vs. HA: 0 is Answer Preview -25.116 ABCDEFG 1561.95 440.031 776.211 767.825 0.987 Result correct correct correct correct correct correct 0.913 *** IT'S NOT 0.913 AND IT'S NOT 0.497 incorrect

You are the manager of World Wide Athlete, a chian of six sporting goods stores

The vertical axis of a graph is for the dependent variable. True O False

2 Complete the table of values for y = x² - 4 x -3- -2 -1 0 1 2 3 y

Given the domain (-2, -1, 0, 1, 2), determine the range for each expression. Use a table of values. 1. y = 3x + 2 6. x - 2y = 6 (x2-1) 2. x + y = 8 7. у %3D 3. y = 5x - 1 4. y = 3x2 5. y = 8. x y - 3 9. y = x2 - 4x - 3 10. y = (x - 1(x +1) %3D 2x-1 %3D

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 11191119 33 33 100900100900 13081308 33 44 119800119800 14521452 33 66 189800189800 16931693 33 66 190500190500 20052005 33 66 196900196900 22102210 33 99 216600216600 23012301 44 99 250900250900 23452345 44 1010 267800267800 28532853 55 1313 270000270000 Copy Data Step 1 of 2 :   Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places

Identify which of the two variables are the independent x and dependent y variable for the following: Number of hours spent studying and grade on a history test

Simplify the expressim x*y² 2.

evaluate

Make t the subject - hot 98t + 1080e 1080e-> -1080= 100