Answer:
The least squares method results in values of the y-intercept and the slope, that minimizes the sum of the squared deviations between the observed (actual) value and the fitted value.
Step-by-step explanation:
The method of least squares works under these assumptions
- The best fit for a data collection is a function (sometimes called curve).
- This function, is such that allows the minimal sum of difference between each observation and the expected value.
- The expected values are calculated using the fitting function.
- The difference between the observation, and the expecte value is know as least square error.
Answer:
$3.72
Step-by-step explanation:
7.75*2=15.5
15.5+0.78=16.28
20-16.28=3.72
Answer:
it can be simplified
Ans:6x squared +9x-5
Step-by-step explanation:
8x squared minus negative 2x squared is equal to positive six squared, +9x cannot be simplified because there are no other liked terms and -5 too.
Answer:
49π (or ~154) cm²
Step-by-step explanation:
A = area
A = πr²
r = radius
r = 7
A = π(7)²
= 49π
= 153.938040026 → 154 cm²
Answer:
Wyatt wrote the correct expression
Step-by-step explanation:
Here we are to evaluate which of the students wrote an expression with the highest common factor being 8c
For Tanya; 32c + 16c; 16c( 2 + 1); This is wrong as the highest common factor is 16c
For Wyatt, we have 8c - 48cd; factorizing, we have 8c(1-6cd); This is correct
For Xavier we have 36c-24c; 8 is not a factor of 36, so it won’t work
For Yang 8c + 40; 8(c+ 5); what we are trying to look for is 8c and not 8 so this is wrong also
