Question

I'm trying to run a time series that proves a correlation between two surveys that each have 10 months of data. What would I use in R to try and prove correlation?

Answer #1

If im trying to
determine correlation between two variables, BMI & ethnicity
what kind of stastical test should i run? Race is a independent
categorical , and nominal. BMI is dependent is quantitive and
continuous
Hypothesis:
In a systematic review researchers found a higher prevalence
among racial minorities compared to white/Anglos or any other
race.
In conclusion, it is hypothesized that participants which are
Latinos will show a positive correlation of increase BMI compared
to other ethnic groups.

I am trying to prove that (sn) is a Cauchy sequence
where |sn+1-sn| < 2-n.
So far, I have figured out that |sm-sn|
<= 1/2m+1 + 1/2m+2 + ... +
1/2n. I want to try to not use the geometric series
condition. My professor hinted that the right hand side is less
than 2/2n but I'm not sure how to find that or how to go
from here!

Hello! So I'm doing an experiment for an upper division bio
class and trying to figure out which statistical test (done in R)
would be best for analyzing the kind of data I have. My experiment
was tracking the behavior of hummingbirds to see if UV properties
attract them to certain flowers. I carried it out using a UV light
source attached to one feeder and no light attached to a second
(only these two groups). The number of hummingbirds...

I am trying to put together a research determining the
relationship between age and exercise time and if there is a
significant difference in gender and exercise times. I would like
to determine the dependent variable normality using SPSS. Gender is
always independent, but when I'm trying to assess the normality for
the age and exercise times. Exercise will always be dependent, but
will in this case is age also dependent or independent? How would I
determine this on SPSS?

I am using forecast package for time series analysis. I have
a dataset with hourly data from oct 3 2016 to oct 23 2016. I used
the following code to convert my data into a time series
object.
Dataset is about citibike stations I’m only using 6
stations
I’m not sure if Im supposed to use my time column or include
my time column.
This is what i have so far.
data.ts <- ts(CitiBike[,2:7], freq = 504, start = 2016)...

Suppose we have the correlation coefficient for the relationship
between two variables, A and B. Determine whether each of the
following statement is true or false.
(a) The variables A and B are categorical.
(b) The correlation coefficient tells us whether A or B is the
explanatory variable.
(c) If the correlation coefficient is positive, then lower values
of variable A tend to correspond to lower values of variable
B.
(d) If the correlation between A and B is r...

You wish to determine if there is a linear correlation between
the two variables at a significance level of α=0.01. You have the
following bivariate data set.
x
y
8.8
46.6
30.2
68.7
42.7
61.8
30.8
83.1
27.3
45.1
26.9
46.1
32
110.2
9.2
25.9
18.4
102.7
42
51.8
10.4
86.1
46.3
41.1
12.7
42.9
19.6
27.3
22.9
59.5
26.9
59.7
2.4
46.8
What is the critical value for this hypothesis test?
rc.v. =
What is the correlation coefficient for...

1.If a time series exhibits a strong, linear upward trend, the
value of the correlation coefficient, r, is expected to be positive
and close to -1. True or False
2.The value of the coefficient of determination R2
ranges between:
A
0 and -1
B
-1 and +1
C
0 and +1
D
- infinity and + infinity
E
+1 and + infinity
3.The average time each customer spends in the queue is referred
to as
A
W
B
Wq
C...

Using the following 5 year data series, calculate the
correlation between interest rates and US new home sales.
Year
Home sales (thousands)
Interest rate (%)
1
605
9
2
554
9
3
524
4
4
605
4
5
508
10
the correct answer is :
0.196
Hint: Use the definition of correlation to calculate the result.
Some useful intermediate values would be the means of the two
variables, their covariance, and their standard deviations.
Double check your results with spreadsheet...

I'm trying to figure out why my program has an infinite loop.
I'm pretty sure it has something to do with the catch(bad_alloc)
function or maybe the while (true) loop above it but I'm not sure.
Can you help me figure out why i have an infinite loop and help me
fix it? Thanks
----------------------------------
main.cc
----------------------------
#include
#include
#include
#include "numbers.h"
using namespace std;
int main()
{
Numbers N1, N2;
for(size_t i = 2; i < 16;...

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