Answer:
In 1830, William Lloyd Garrison started an abolitionist paper, The Liberator. In 1832, he helped form the New England Anti-Slavery Society. When the Civil War broke out, he continued to blast the Constitution as a pro-slavery document. When the civil war ended, he, at last, saw the abolition of slavery.
Answer:
The answer is "Option A"
Explanation:
Complete Code:
public class Arr//defining a class-Arr
{
public static void main(String[] args)//main method
{
int [][] numbers={{1, 2, 3},{4,5,6}}; //defining 2D array numbers
for(int[] row : numbers) //use for loop that holds all array value into 1D array
{
for (int n: row)//defining n variable that holds row array values
{
System.out.print (n); //print n variable value
}
}
}
}
The code comment explains its functioning.
Answer:
- <u><em>D. No, because $100,000 is much greater than the values used in the experiment.</em></u>
<u><em></em></u>
Explanation:
<em>Correlations</em>, when have strong correlation coefficients, which r = 0.9 is, may be good predictors within the limits of the range of the data.
Trying to extrapolate the <em>linear relationship</em> between the variables, <em>x = advertising spending and y= product sales</em>, way beyond the limits of the data used for the study, is too risky, because the data may be linear just for some stages (ranges) but behave very different in other ranges.
As, the option D. states, <em>$100,000 is much greater that the values used in the experiment</em>; hence, the correlation would likely would not be a good predictor for that input.