The answer is 1.81 repeated so like 1.81818181
<u>Answer:</u>
<h2>
52% were jelly beans!</h2>
<u>Explanation</u><u>:</u>
<em>Cross </em><em>multiply </em><em>the </em><em>following:</em>
<em>
</em>
<em>x </em><em>times </em><em>1</em><em>3</em><em>8</em><em> </em><em>=</em><em> </em><em>1</em><em>3</em><em>8</em><em>x</em>
<em>100 </em><em>times </em><em>7</em><em>1</em><em>.</em><em>7</em><em>6</em><em> </em><em>=</em><em> </em><em>7</em><em>,</em><em>1</em><em>7</em><em>6</em>
<em>Divide </em><em>both </em><em>sides </em><em>by </em><em>1</em><em>3</em><em>8</em><em>:</em>
<em>
</em>
<h3>
<em>x </em><em>=</em><em> </em><em>5</em><em>2</em><em>%</em></h3>
When it comes to finding points on a graph, think of the saying, "you have to learn how to walk before you climb."
Answer:
possibly china, but not confirmed.
Step-by-step explanation:
Answer:
Linear correlation exists
Step-by-step explanation:
Given the data :
X : | 2 4 5 6
Y : | 6 9 8 10
Using technology to fit the data and obtain the correlation Coefficient of the regression model,
The Correlation Coefficient, r is 0.886
To test if there exists a linear correlation :
Test statistic :
T = r / √(1 - r²) / (n - 2)
n = number of observations
T = 0.886 / √(1 - 0.886²) / (4 - 2)
T = 0.866 / 0.3535845
T = 2.449
Comparing Pvalue with α
If Pvalue < α ; Reject H0
Pvalue = 0.1143
α = 0.05
Pvalue > α ; We reject the null and conclude that linear correlation exists