The very first thing to do in every correlation activity is to plot the gathered data points in a scatter plot. It is better to use software tools like MS Excel because they have a feature there that uses linear regression like that one shown in the picture.
Once you plot the data points, make a trendline. You are given with options. If you want a linear function, then you will have a linear model with a function equation of y = 0.2907x + 2.2643. It has a correlation coefficient of 0.9595. That's a strong correlation already. The R² value tells how good your model fits the data points. If you want to increase the R², a better model would be a quadratic function with the equation, y = -0.0209x²+0.506x+2.0232. As you can see the R² increase even more to 0.9992.
Answer:
The only correct options are A, B and E.
Step-by-step explanation:
He buys
pounds of flour, 12 ounces of coconut, and
pounds of sugar.
We will add these together, but before that, we convert the 12 ounces to pounds, so that all the units are the same:
1 ounce = 0.0625 pounds
12 ounces = 12 * 0.0625 =
pounds
He buys
pounds of coconut.
Adding all of them together yields:
+
+
=
pounds
Let us also convert to ounces:
/ 0.0625 = 56 ounces
Let us also convert 1/2 pound to ounces:
1/2 / 0.0625 = 8 ounces
Hence, the total weight of ingredients that Dwayne bought is
pounds or 56 ounces or 3 pounds 8 ounces
Hence, options A, B and E are correct.
Answer:
The percentage increase in the cost of Boris car insurance cost is 249%
Step-by-step explanation:
In this question, we want to calculate the percentage increase in the cost of car insurance paid by Boris
Mathematically, to calculate this percentage increase, we shall need to make use of a mathematical formula.
Mathematically, the percentage increase would be;
{(new value paid-old value paid)/old value paid} * 100%
From the question, we can identify that the old value paid is £256 while the new value paid is £894
Thus, the percentage increase would be ;
(894-256)/256 * 100% = 638/256 * 100 = 2.4921875 * 100 = 249.21875 which is 249% increase to the nearest whole percentage
Answer:
See explanation below.
Step-by-step explanation:
Let's take P as the proportion of new candidates between 30 years and 50 years
A) The null and alternative hypotheses:
H0 : p = 0.5
H1: p < 0.5
b) Type I error, is an error whereby the null hypothesis, H0 is rejected although it is true. Here, the type I error will be to conclude that there was age discrimination in the hiring process, whereas it was fair and random.
ie, H0: p = 0.5, then H0 is rejected.
The correct answer for this problem is a. $39695. Hope this helps!