Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Correlation
The correlation is commonly used and a useful statistic used to describe the degree of the relationships between two or more variables. Pearson's correlation reflects the degree of linear relationship between X variables which are independent and a Y variable which is independent and it ranges from positive 1 to negative 1 (+1 to -1). Below are statistics I have managed to gather which shows the relationship between the variables of wfood, totexp, income, age, nk.
The Null Hypothesis - H0: Correlation has risen by chance i.e. r = 0
The Alternative Hypothesis - H1: Correlation has not risen by chance i.e. r ≠ 0
*Exception: Reject H0 when P-value ≤ α = 0.05
Correlations: wfood, totexp, income, age, nk
wfood totexp income age
totexp -0.479 0.000
income -0.235 0.449
0.000 0.000
age 0.021 0.189 0.218
0.405 0.000 0.000
nk 0.102 0.071 0.025 0.008
0.000 0.005 0.322 0.753
Cell Contents: Pearson correlation
P-Value
Need statistic assignment help. Need by Monday, 26Th May. Gretl has to be used compulsory.
Construct your initial multivariate model by selecting a dependent variable Y and two independent variables X. Clearly define what each variable represents and how this relates t
Hi There, I have a question regarding R, and I am wondering if anyone can help me. Here is a code that I would like to understand: squareFunc g f(x)^2 } return(g) } sin
implications of multicollinearity
In an agricultural experiment, we wish to compare the yields of three different varieties of wheat. Call these varieties A, B and C. We have a ?eld that has been marked into a 3 *
Celia is a nurse in a geriatric ward. She noticed that older persons in her care are having problems sleeping at night. She decided to introduce non-pharmocologic ways of relaxat
1. For each of the following variables: major, graduate GPA, and height: a. Determine whether the variable is categorical or numerical. b. If the variable is numerical, deter
calculate variance and standard deviation of the following sample 12,22,32,13,12,23,34,52,56,23,44,32,11,11
Analysis of Variance for the data: Draw a random sample of size 25 from the following data : (a) With Replacement and (b) Without Replacement and obtain Mean and Varia
1. Recognize and explain the opportunities for statistical learning. 2. Describe how the use of statistics supports student learning. 3. Recognize appropriate data displays a
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd