i. Trying to predict weekly sales with a standard error of estimate of $1,955, we would conclude that 68 percent of the predictions would not be off more than $1,955, 95 percent would not be off by more $3,910, and 99.7 percent would not be off by more than $5,865.ii. The smaller the sample, the smaller the possible error as measured by the standard error of estimate.ii. Approximately 95% of the values lie within two standard errors of the regression line. Select one: a. (i), (ii), and (iii) are all correct statements. b. (i) and (ii) are correct statements but not (iii). c. (ii) and (iii) are correct statements but not (i). d. (i), (ii), and (i) are all false statements. e. (i) and (iii) are correct statements but not (ii).
Unitary Method
The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products.
Speed, Time, and Distance
Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.
Profit and Loss
The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.
Units and Measurements
Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.
![i. Trying to predict weekly sales with a standard error of estimate of $1,955,
we would conclude that 68 percent of the predictions would not be off more
than $1,955, 95 percent would not be off by more $3,910, and 99.7 percent
would not be off by more than $5,865.ii. The smaller the sample, the smaller
the possible error as measured by the standard error of estimate.i.
ut of
Approximately 95% of the values lie within two standard errors of the
regression line.
Select one:
a. (i), (ii), and (iii) are all correct statements.
b. (i) and (ii) are correct statements but not (iii).
c. (ii) and (iii) are correct statements but not (i).
d. (i), (ii), and (iii) are all false statements.
e. (i) and (iii) are correct statements but not (ii).
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