Calculate the value of coefficient of correlationpetween price and supply. What is its probable error ? Interpretthe value of coefficient of correlation.Price8.10151720222425Supply:2530323537404245

The correlation coefficient, that indicates the nature (i.e., characterized in terms of strength) of…

Answered: Calculate the value of coefficient of…

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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Participant X Y A 2 6 B 3 3 C 4 2 D 7 1 r=-.85 The correlation between X and Y is large and positive. As X increases, Y increases large and positive. As X increases, Y decreases medium and positive. As X increases, Y increases medium and positive. As X increases, Y decreases large and negative. As X increases, Y increases large and negative. As X increases, Y decreases
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Agricultural companies like to predict how much they can grow per acre based on annual rainfall in inches. Let's assume that an ag company wants to predict indigo yields based on rainfall. What is the response variable? rainfall the ag company indigo yield variety of indigo
Scatter Plot Instructions: Use technology to create a scatter plot for the data below. Then find the answers to the following questions. (Note: You will not turn in the scatter plot for this question.) Weight (Ibs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 166 1. What is the response variable? Systolic Blood Pressure + 2. What is the explanatory variable? Weight 3. What is the equation of the linear regression line? y = a x (Round to the nearest hundredth, if necessary.) (Round to the 4. If person's weight is 150, what can we expect the systolic blood pressure to be? nearest whole number, if necessary.) This is an example of extrapolation + 5. The sample correlation coefficient is (Round to the nearest hundredth, if necessary.) This number indicates that there is a strong positive correlation between the explanatory and response variables. Please answer all parts of the question. Next page stv MacBook Air 20 F3 000 F4…
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Using least square method, find the regression line model. Interprete your result. Calculate the coefficient of correlation and explain. Calculate the coefficient of determination and explain your answer.
5. The table below shows varying prices of music sold on a streaming service. Determine the linear regression to estimate the weekly sales of albums sold, use your regression to estimate the weekly sales if the price is $9 per album, and state the correlation coefficient, r, and interpret its meaning in the context of this problem. Price ($) Weekly sales (in thousands) $8 440 $8.50 380 $10 $11.50 250 180
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?

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Calculate the value of coefficient of correlation oetween 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