| 000 -LEADER |
|---|
| fixed length control field |
02110nam a2200289Ia 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
88986 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
ft7695 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251010171712.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230718n 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
english |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
T58.6 An3 2022 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ancheta, Jherimae, Lazo, Primo Ivan, Medina, Llovelyn. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
The development of construction estimation of road projects in Manila City using Multiple Linear Regression with machine learning algorithm / |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila: |
| Name of producer, publisher, distributor, manufacturer |
PLM, |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
. |
| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2023. |
| 336 ## - CONTENT TYPE |
|---|
| Content type code |
text |
| Content type term |
text |
| Source |
text |
| 337 ## - MEDIA TYPE |
|---|
| Media type code |
unmediated |
| Media type term |
unmediated |
| Source |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type code |
volume |
| Carrier type term |
volume |
| Source |
volume |
| 385 ## - AUDIENCE CHARACTERISTICS |
|---|
| Audience term |
2 |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
ABSTRACT: Estimatingf cost in construction is important to the city’s design and planning management hence, costg estimate must not be overpriced which may cause corruption or underpricing that leads to unreliable or low-quality road projects. The total estimated cost is only valid in the same year it was proposed because of the inflation rate the costs may change. The researchers applied Multiple Linear Regression technique in predicting total estimated cost for road construction analysis. The model is evaluated by the means of R-squared to determine the variables if they are correlated or overfitting. The calculated R-squared is equal to 0.696598 with the predictor variables (x1 & x2) Roadbed width and Net length and it means that the predictors (Xi) explain 69.7% of the variance of Y. The higher the R-squared result, the better fit it is for the Multiple Linear Regression model. It also shows that X1 and X2 are significant predictor variables. The coefficient of multiple correlation (R) is equals to 0.834624 and it means that there is a very strong correlation between the predicted data and the observed data whereas the dependent variable (y) is the Estimated cost. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
|---|
| Terms governing use and reproduction |
5 |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Institution code [OBSOLETE] |
lcc |
| Item type |
Thesis/Dissertation |
| Source of classification or shelving scheme |
|