Jan 19, 2014 14:28
10 yrs ago
7 viewers *
English term
Peru
Accuracy and Commitment
Native in: Spanish (Variants: Latin American, Peruvian) 
Works in: English to Spanish, French to Spanish, Spanish to English, and 5 more.
fit
English to Spanish
Science
Mathematics & Statistics
Linear regression – an algorithm to find a precise line of fit for a set of data.
Proposed translations
(Spanish)
| 4 +3 | ajuste |
Florencio Alonso
|
| 3 | recta de ajuste exacto/preciso |
DLyons
|
References
| Findings |
Taña Dalglish
|
Proposed translations
+3
11 mins
Florencio Alonso
Uruguay
Uruguay
Native in Spanish
Works in field
Uruguay
Certif. Translator + Telecom Engineer
Native in: Spanish
Works in: English to Spanish, Spanish, Spanish to English
Related KudoZ points
:
31
4 KudoZ points awarded for this answer.
Comment: "Selected automatically based on peer agreement."
17 hrs
English term (edited):
precise line of fit
recta de ajuste exacto/preciso
"Fit" doesn't really stand alone here.
Reference comments
12 mins
Taña Dalglish
Jamaica
Jamaica
Native in English
Jamaica
Translating the Ideas Behind the Words
Native in: English (Variant: British)
Works in: Spanish to English, English to Spanish, French to English, and 2 more.
Related KudoZ points
:
23
Reference:
Findings
http://agourley.kingsport.jsms.schoolfusion.us/modules/locke...
2. The process of using a linear equation to make predictions about values
that are beyond the range of the data is called linear regression.
SOLUTION:
The statement is false. The process of using a linear equation to make
predictions about values that are beyond the range of the data is called
linear extrapolation. Linear regression is an algorithm to find a precise
line of fit for a set of data.
ANSWER:
false, linear extrapolation
http://mathbits.com/MathBits/TISection/Statistics2/linear.ht...
Linear Regression
A linear regression is also know as the "line of best fit".
c.) Decide whether the new equation is a "good fit" to represent this data.
Step 5. Is this model a "good fit"?
The correlation coefficient, r, is .9336055153 which places the correlation into the "strong" category. (0.8 or greater is a "strong" correlation)
The coefficient of determination, r 2, is .8716192582 which means that 87% of the total variation in y can be explained by the relationship between x and y. The other 13% remains unexplained.
Yes, it is a "good fit".
2. The process of using a linear equation to make predictions about values
that are beyond the range of the data is called linear regression.
SOLUTION:
The statement is false. The process of using a linear equation to make
predictions about values that are beyond the range of the data is called
linear extrapolation. Linear regression is an algorithm to find a precise
line of fit for a set of data.
ANSWER:
false, linear extrapolation
http://mathbits.com/MathBits/TISection/Statistics2/linear.ht...
Linear Regression
A linear regression is also know as the "line of best fit".
c.) Decide whether the new equation is a "good fit" to represent this data.
Step 5. Is this model a "good fit"?
The correlation coefficient, r, is .9336055153 which places the correlation into the "strong" category. (0.8 or greater is a "strong" correlation)
The coefficient of determination, r 2, is .8716192582 which means that 87% of the total variation in y can be explained by the relationship between x and y. The other 13% remains unexplained.
Yes, it is a "good fit".
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