The data below reflects the 1991-92 Reunion Class Giving of SUNY Albany alumni. Class Year Average Gift Total Giving 1922 41.67 125 1927 60.75 1,215 1932 83.82 3,772 1937 87.84 5,710 1947 88.27 6,003 1952 76.14 5,254 1957 52.29 4,393 1962 57.80 4,451 1972 42.68 18,093 1976 49.39 22,473 1981 46.87 20,997 1986 37.03 12,590 We will use the columns "Class Year" and "Total Giving" for all questions, unless otherwise stated. O Part (a) O Part (b) Calculate the least squares line. Put the equation in the form of: ŷ = a + bx. (Round your slope to three decimal places and your intercept to the nearest whole number.) ŷ = 936.892 x + -0.449 O Part (c) Find the correlation coefficient r. (Round your answer to four decimal places.) r= -0.5176 What does it imply about the significance of the relationship? O The value of r is not significant; therefore, we cannot use the equation to make predictions. There is no linear relationship; therefore, we cannot use the equation to make predictions. O The value does not make sense because it is within the scope of the model. O The value of r is significant; therefore, we can use the equation to make predictions. O Part (d) For the class of 1928, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.) O Part (e) For the class of 1965, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.) O Part (f) For the class of 1860, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.) Why doesn't this value make any sense? O The value of the prediction doesn't make sense because it is not possible for the total gift to be negative. The value of the prediction doesn't make sense because ris not significant; therefore, we cannot use the regression line to make predictions. The value of the prediction doesn't make sense because it is too much money. O The value of the prediction doesn't make sense because people didn't attend school in 1860.
The data below reflects the 1991-92 Reunion Class Giving of SUNY Albany alumni. Class Year Average Gift Total Giving 1922 41.67 125 1927 60.75 1,215 1932 83.82 3,772 1937 87.84 5,710 1947 88.27 6,003 1952 76.14 5,254 1957 52.29 4,393 1962 57.80 4,451 1972 42.68 18,093 1976 49.39 22,473 1981 46.87 20,997 1986 37.03 12,590 We will use the columns "Class Year" and "Total Giving" for all questions, unless otherwise stated. O Part (a) O Part (b) Calculate the least squares line. Put the equation in the form of: ŷ = a + bx. (Round your slope to three decimal places and your intercept to the nearest whole number.) ŷ = 936.892 x + -0.449 O Part (c) Find the correlation coefficient r. (Round your answer to four decimal places.) r= -0.5176 What does it imply about the significance of the relationship? O The value of r is not significant; therefore, we cannot use the equation to make predictions. There is no linear relationship; therefore, we cannot use the equation to make predictions. O The value does not make sense because it is within the scope of the model. O The value of r is significant; therefore, we can use the equation to make predictions. O Part (d) For the class of 1928, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.) O Part (e) For the class of 1965, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.) O Part (f) For the class of 1860, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.) Why doesn't this value make any sense? O The value of the prediction doesn't make sense because it is not possible for the total gift to be negative. The value of the prediction doesn't make sense because ris not significant; therefore, we cannot use the regression line to make predictions. The value of the prediction doesn't make sense because it is too much money. O The value of the prediction doesn't make sense because people didn't attend school in 1860.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
It’s all in one question
Transcribed Image Text:The data below reflects the 1991-92 Reunion Class Giving of SUNY AIbany alumni.
Class Year
Average Gift
Total Giving
1922
41.67
125
1927
60.75
1,215
1932
83.82
3,772
1937
87.84
5,710
1947
88.27
6,003
1952
76.14
5,254
1957
52.29
4,393
1962
57.80
4,451
1972
42.68
18,093
1976
49.39
22,473
1981
46.87
20,997
1986
37.03
12,590
We will use the columns "Class Year" and "Total Giving" for all questions, unless otherwise stated.
O Part (a)
O Part (b)
Calculate the least squares line. Put the equation in the form of: ý = a + bx. (Round your slope to three decimal places and your intercept to the
nearest whole number.)
ý = 936.892
X + -0.449
O Part (c)
Find the correlation coefficient r. (Round your answer to four decimal places.)
r= -0.5176
What does it imply about the significance of the relationship?
O The value of r is not significant; therefore, we cannot use the equation to make predictions.
O There is no linear relationship; therefore, we cannot use the equation to make predictions.
O The value does not make sense because it is within the scope of the model.
O The value of r is significant; therefore, we can use the equation to make predictions.
O Part (d)
For the class of 1928, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.)
$
O Part (e)
For the class of 1965, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.)
$
O Part (f)
For the class of 1860, predict the total class gift. (Use your equation from part (b). Round your answer to two decimal places.)
Why doesn't this value make any sense?
O The value of the prediction doesn't make sense because it is not possible for the total gift to be negative
O The value of the prediction doesn't make sense because r is not significant; therefore, we cannot use the regression line to make
predictions.
O The value of the prediction doesn't make sense because it is too much money.
O The value of the prediction doesn't make sense because people didn't attend school in 1860.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 5 steps with 4 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman