Homework Answers
ANSWER : OPTION C.
From the scatter plot we can easily say that there is a moderate relationship between variables, here because of this relationship is slightly U shape i.e. Curvilinear so in this scenario the Linear Regression Model is not resonable. Here we can use Polynomial Regression Model for regression fitting.
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Describe the strength of the relationship in the data, and whether or not fitting a linear...
setup a predictive equation involving variable 1 and variable 2. First, you plot the data below...
setup a predictive equation involving variable 1 and variable 2. First, you plot the data below to determine if linear regression applies. variable1 -0.21582 0.56997 -0.54850 -0.12385 0.06975 0.16327 -0.72595 0.22500 -0.40463 0.67652 -0.82322 0.06747 0.74055 -0.71577 -0.82231 -0.47603 0.58094 -0.58573 0.19003 -0.49528 0.93083 0.61389 -0.91742 -0.60957 variable2 0.89369 -0.72620 -0.09185 0.50086 -0.73607 0.88498 -0.27512 0.62647 0.92432 0.56368 0.73005 -0.74824 0.79412 -0.04509 -0.70951 0.01573 0.51169 0.10376 -0.90089 0.04767 -0.16886 -0.65529 0.25296 -0.24747 Choose your answer from the following: a) The...
Scatter plots are used to discover relationships between variables. Using the corresponding measurements of variable 1...
Scatter plots are used to discover relationships between variables. Using the corresponding measurements of variable 1 and variables 2 in DATA, plot variable 1 vs. variable 2 and describe the correlation between variable 1 and variable 2. variable1 variable2 -0.21582 0.89369 0.56997 -0.72620 -0.54850 -0.09185 -0.12385 0.50086 0.06975 -0.73607 0.16327 0.88498 -0.72595 -0.27512 0.22500 0.62647 -0.40463 0.92432 0.67652 0.56368 -0.82322 0.73005 0.06747 -0.74824 0.74055 0.79412 -0.71577 -0.04509 -0.82231 -0.70951 -0.47603 0.01573 0.58094 0.51169 -0.58573 0.10376 0.19003 -0.90089 -0.49528 0.04767 0.93083...
Assess whether the following correlation coefficients denote a very strong relationship, strong relationship, moderate relationship, weak...
Assess whether the following correlation coefficients denote a very strong relationship, strong relationship, moderate relationship, weak relationship, or no relationship at all: a) -0.74 b) -0.12 c) +0.28 d) -0.93 e) +0.84 f) Now place these correlation coefficients in order from weakest to strongest relationship.
The P-value for a hypothesis test is given. Determine whether the strength of the evidence against...
The P-value for a hypothesis test is given. Determine whether the strength of the evidence against the null hypothesis is weak/none, moderate, strong, or very strong. P = 0.13
in MATLAB Curve fitting Given the following data, find the best linear functional relationship and cubic...
in MATLAB Curve fitting Given the following data, find the best linear functional relationship and cubic functional relationship using “polyfit,” “polyval,” and “plot” built-in functions. Plot all three fits that you got from Matlab. A rough plot by hand is allowable. You do not need to provide any codes. x = [-3, -2, 0, 1, 3, 4, 6, 7, 8, 9]; y = [5, 7, 8, 10, 6, 2, -4, -6, -2, 1];
1. (10 pts total; 5 pts each) In lecture we discussed the issues with fitting data wit polynomial...
Please answer both parts a and b
1. (10 pts total; 5 pts each) In lecture we discussed the issues with fitting data wit polynomials of degree greater than 1 specifically in the case where there were multiple terms in the polynomial. However, monomial models of the form where ε ~ N(0,02) (as usual) are commonly used when the data appears to have non-linear form. (a) Describe a technique in which you would transform polynomial-looking data such that the fitted...
(a) Using the above t-test data to determine whether or not there is a linear relationship...
(a) Using the above t-test data to determine whether or not there
is a linear relationship between the two variables.
(b) Using the above ANOVA F-test data to determine whether or not
there is a linear relationship between the two variables.
(c) How do the results in (a) compare to those in (b)?
We were unable to transcribe this imageAnalysis of Variance Table Response: DatSGPA Dat $ACT 1 3. 588 3. 5878 9. 2402 0.002917 Df Sum Sq Mean sq...
A set of bivariate data consists of these measurements on two variables, x and y: 2...
A set of bivariate data consists of these measurements on two variables, x and y: 2 4 4 6 8 4 7 6 (a) Make a scatterplot. Comment on the form, direction, and strength of the relationship. The relationship appears to be linear, positive, and fairly weak. The relationship appears to be linear, negative, and fairly strong. The relationship appears to be linear, positive, and fairly strong. The relationship appears to be linear, negative, and fairly weak. ● The relationship...
[3-6] Correlation is a measure of the direction and strength of the linear (straight-line) associ...
Intro to Stats
Q1:
Q2:
[3-6] Correlation is a measure of the direction and strength of the linear (straight-line) association between two quantitative variables. The analysis of data from a study found that the scatter plot between two variables, x and y, appeared to show a straight-line relationship and the correlation (r) was calculated to be -0.84. This tells us that there is little reason to believe that the two variables have a linear association relationship all of the data...
I'm having trouble categorizing whether this graph is moderate, weak or strong. I believe that this...
I'm having trouble categorizing whether this graph is moderate,
weak or strong. I believe that this is a weak relationship.
I found that the correlation coefficient r=-0.0106, so this
tells me that it's a weak relationship. Would appreciate if someone
could get back to me!
_ Fitted line 250 200 100 50t 60 70 50 Age 20 30 40
Please answer both parts a and b
1. (10 pts total; 5 pts each) In lecture we discussed the issues with fitting data wit polynomials of degree greater than 1 specifically in the case where there were multiple terms in the polynomial. However, monomial models of the form where ε ~ N(0,02) (as usual) are commonly used when the data appears to have non-linear form. (a) Describe a technique in which you would transform polynomial-looking data such that the fitted...
(a) Using the above t-test data to determine whether or not there
is a linear relationship between the two variables.
(b) Using the above ANOVA F-test data to determine whether or not
there is a linear relationship between the two variables.
(c) How do the results in (a) compare to those in (b)?
We were unable to transcribe this imageAnalysis of Variance Table Response: DatSGPA Dat $ACT 1 3. 588 3. 5878 9. 2402 0.002917 Df Sum Sq Mean sq...
A set of bivariate data consists of these measurements on two variables, x and y: 2 4 4 6 8 4 7 6 (a) Make a scatterplot. Comment on the form, direction, and strength of the relationship. The relationship appears to be linear, positive, and fairly weak. The relationship appears to be linear, negative, and fairly strong. The relationship appears to be linear, positive, and fairly strong. The relationship appears to be linear, negative, and fairly weak. ● The relationship...
Intro to Stats
Q1:
Q2:
[3-6] Correlation is a measure of the direction and strength of the linear (straight-line) association between two quantitative variables. The analysis of data from a study found that the scatter plot between two variables, x and y, appeared to show a straight-line relationship and the correlation (r) was calculated to be -0.84. This tells us that there is little reason to believe that the two variables have a linear association relationship all of the data...
I'm having trouble categorizing whether this graph is moderate,
weak or strong. I believe that this is a weak relationship.
I found that the correlation coefficient r=-0.0106, so this
tells me that it's a weak relationship. Would appreciate if someone
could get back to me!
_ Fitted line 250 200 100 50t 60 70 50 Age 20 30 40
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