22.45 would be 22, and 90.32 would be 90
Answer:
Here it is solved for rate:
log(1 + rate) = {log(total) -log(Principal)} ÷ Years
Let's work through your example:
log(1 + rate) = {log(6,680) -log(5,000)} / 6
log(1 + rate) = (3.8247764625 -3.6989700043) / 6
log(1 + rate) = 0.020967743
If we raise 10 to the 0.020967743 power
10^0.020967743 it produces 1 plus the rate
1 plus the rate = 10^0.020967743 = 1.0494644773
There fore the rate = .0494644773 which equals
4.94644773 per cent
Source: https://www.1728.org/compint2.htm
Step-by-step explanation:
Image of the correlation between Risk-Taking (R) and Relationship Happiness (HAPPY) is missing, so i have attached it.
Answer:
Option 1 - The relationship is non - significant
Step-by-step explanation:
From the image attached, we can see that under the correlations table;
For correlation between relationship happiness and risk taking;
σ(sigma) = 0.053
Similarly, for correlation between risk taking and relationship happiness;
σ(sigma) = 0.053
.
Now,σ(sigma) = 0.053 is more than the standard alpha level of 5%(0.05). Thus, we fail to reject the null hypothesis since it is non - significant.
Data points
a data series
an x axis
a y axis
a legend
hope this helps (: