Well, I don't think you can present any evidence to show she is wrong. Behaviorists believe that children and any human being acquire language through conditioning - you present them with a condition under which they learn a certain language. Since this woman is a behaviorist, I don't see why she is wrong in believing what she does.
The Pre-Columbian era incorporates all period subdivisions in the history and prehistory of the Americas before the appearance of significant European influences on the American continent, spanning the time of the original settlement in the Upper Paleolithic period to European colonization during the Early Modern period.
While the phrase "pre-Columbian era" literally refers only to the time preceding Christopher Columbus's voyages of 1492, in practice the phrase is usually used to denote the entire history of indigenous Americas cultures until those cultures were exterminated, diminished, or extensively altered by Europeans, even if this happened decades or centuries after Columbus's first landing. For this reason the alternative terms of Precontact Americas, Pre-Colonial Americas or Prehistoric Americas are also in use. In areas of Latin America the term usually used is Pre-Hispanic.
A mountain or a kite. Not really sure which one...
The credit report refers to the record of the credit history of a person.
A credit report is simply referred to as a record of the repayment of the debt of a borrower. It shows the record of the credit history of a borrower from different sources.
In this case, the credit report will be used in determining if Carolina will be given the loan or not. In a situation whereby Carolina pays the loans that she had taken earlier on time, this can ensure that she'll be given another loan.
On the other hand, if Carolina doesn't pay back her loans in time, this can discourage the bank from given her the loan.
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Based on the computer output, the predicted price for a car with 10,000 miles is $22,347.20.
<h3>What is a least-squares regression?</h3>
A least-squares regression line can be defined as a standard technique in regression analysis and statistics that is typically used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In statistics, the sum of the residuals for a least-squares regression line is always zero (0) because it determines whether or not a line of regression is a good fit or match for the given data.
Based on the computer output, the predicted price for a car that has covered a distance of 10,000 miles on the odometer is $22,347.20.
Read more on least-squares regression here: brainly.com/question/26059078