3 What does the Adjusted R Squared tell us about the relationship between Sales, Price, and Advertising? The modelexplains about 70% of the variance in sales. The model explains about 80% of the variance in sales. The model explainsabout 70% of the variance in sales. The model explains about 80% of the variance in sales. The model explains about60% of the variance in sales. The model explains about 90% of the variance in salesงcQuantity SoldPrice Advertising900053250Variable DescriptionsQuanity Sold48008550Price57006750Weight75005850630083550Model Parameters740062150580071200The number of products soldThe dollar amount charged for the productThe dollar amount spent in advertising the productDependent VariablePredictorsPriceAdvertisingInterceptQuantity SoldCoefficient-869.59440020.66209607811069.70946

To determine the value of the adjusted r-square and interpret its value.

Answered: 3 What does the Adjusted R Squared tell…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation. Bank A (single line): 6.6 6.7 6.7 6.8 7.0 7.2 7.5 7.7 7.7 7.7 6.7 7.7 7.8 8.4 9.2 9.7 Bank B (individual 4.1 5.4 5.8 6.2 lines): www The coefficient of variation for the waiting times at Bank A is%. (Round to one decimal place as needed.)
Use the table to find the following, unit price being your (x) and units sold (y). a. Find linear correlation coefficient. Years of Experience Salary in 1000$ 2 3. 15 28 42 13 64 50 16 90 11 58 8 54 b. Find the line of best fit. c. How many units will sell if the unit price was 0.85.
At Bats and Hits The data below show the number of three-base hits (triples) and the number of home runs hit during the season by a random sample of MLB teams. Is there a significant relationship between the data? Triples 25 24 34 31 19 29 Home runs 312 236 301 279 276 270 Send data to Excel Part 1 of 5 Your Answer is correct (a) Draw the scatter plot for the variables. At Bats and Hits Home runs y 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 x 5 10 15 20 25 30 35 40 45 50 55 60 0 Triples Part: 1 / 5 1 of 5 Parts Complete Part 2 of 5 (b) Compute the value of the correlation coefficient. Round your answer to at least three decimal places. r=?
2. Chloe compares the growth of plant species A and B. Plant AH Plant BH ++++++ HHH 0 1 2 3 4 5 6 7 8. Growth (centimeters) Part A What do the box plots tell you about the growth of a typical plant of each species? Explain. Part B What do the box plots tell you about the variability of the data?
3. Correlation and linear regression
Roller coasters get their speed as a result of dropping down a steep incline. The table below gives height of a drop and the speed achieved for different roller coasters around the world. Drop in Meters (m 25 30 28 58 55 40 90 100 Speed of the coaster (k.p.h) 80 90 78 93 90 93 105 128 Have your calculator find the linear regression for the roller coaster data above. Write the linear model, clearly define the variables and state correlation coefficient and clearly interpret the slope. Use the model to find the drop height that will result in a coaster speed of 150 kph. Have your calculator find the exponential regression for this data. Write the exponential model, clearly define the variables and state correlation coefficient. Use the model to find the drop height that will result in a…
Calculate the value of coefficient of correlation petween price and supply. What is its probable error ? Interpret the value of coefficient of correlation. Price 8. 10 15 17 20 22 24 25 Supply : 25 30 32 35 37 40 42 45
Give an example of two variables that have a positive linear correlation. Give an example of two variables that have a negative linear correlation. Give an example of two variables that have no correlation. Below is the height in inches and weight in pounds of eleven individuals Height, x 62 63 66 68 70 72 73 74 74 75 75 Weight, y 195 190 250 220 250 255 260 275 280 295 300 x = 65 inches x = 69 inches x = 71 inches
Correlation and linear regression
Answer
JUST ANSWER THE LETTER D AND E A Zumba instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. Age (x years) 20 40 60 Maximum heart rate 170 153 136 (y beats per minute) a. Find the linear correlation coefficient for the data. b. What is the significance of the value found in part a? c. Find the equation of the least-squares line. d. Use the equation from part c to predict the maximum exercise heart rate for a person who is 72. e. Is the procedure in part d an example of interpolation or extrapolation?
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