What are groups of organs that work together

How did the leadership of Samuel Gompers from the American Federation of Labor differ from Terence Powderly of the Knights of La

NemiM [27]

Leadership of Samuel Gompers from the American Federation of Labor differ from Terence Powderly of the Knights of Labor because Gompers preferred negotiations rather than strikes

For better understanding, let us explain the Leadership of Samuel Gompers

Samuel Gompers was born 1850 and died in 1924. He was an American labor leader and a Dutch-Jewish cigar maker. He has a doctrine called pure and simple unionism. He only does things that immediately benefited the workers such as wages, hours, and working conditions.
AFL is known as American Federation of Labor and it was formed in 1886, with Gompers was elected president of a union of skilled workers from one or more trades and uses collective bargaining to reach written agreements on wages hours and working conditions. The AFL used strikes as a major tactic to win higher wages and shorter work weeks.

from the above, we can therefore say the answer Leadership of Samuel Gompers from the American Federation of Labor differ from Terence Powderly of the Knights of Labor because Gompers preferred negotiations rather than strikes is correct

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Find the residual values, and use the graphing calculator tool to make a residual plot.

finlep [7]

Answer:

No, the points are evenly distributed about the x-axis.

Explanation:

1. Write the table with the data:

x given predicted residual

1 - 3.5 - 1.1

2 - 2.9 2

3 - 1.1 5.1

4 2.2 8.2

5 3.4 1.3

2. Complete the column of residuals

The residual is the observed (given) value - the predicted value.

residual = given - predicted.

Thus, the complete table, with the residual values are:

x given predicted residual

1 - 3.5 - 1.1 - 2.4

2 - 2.9 2 - 4.9

3 - 1.1 5.1 - 6.2

4 2.2 8.2 - 6.0

5 3.4 1.3 2.1

3. Residual plot

You must plot the last column:

x residual

1 - 2.4

2 - 4.9

3 - 6.2

4 - 6.0

5 2.1

See the plot attached.

Does the residual plot show that the line of best fit is appropriate for the data?

Ideally, a residual plot for a line of best fit that is appropiate for the data must not show any pattern; the points should be randomly distributed about the x-axis.

But the points of the plot are not randomly distributed about the x-axis: there are 4 points below the x-axis and 1 point over the x-axis: there are more negative residuals than positive residuals. This is a pattern. Also, you could say that they show a curve pattern, which drives to the same conclusion: the residual plot shows that the line of best fit is not appropiate for the data.

Thus, the conclusion should be: No, the points have a pattern.

1. "Yes, the points have no pattern": false, because as shown, the points do have a pattern, which makes the residual plots does not show that the line of best fit is appropiate for the data.

2. "No, the points are evenly distributed about the x-axis": true. As already said the points have a pattern. It is a curved pattern, and this shows the line of best fit is not appropiate for the data.

3. "No, the points are in a linear pattern": false. The points are not in a linear pattern.

4. "Yes, the points are in a curved pattern": false. Because the points are in a curved pattern, the residual plot shows that the line of best fit is not appropiate for the data.