Interpretations case study 4
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Catégorie :Category: nCreator TI-Nspire
Auteur Author: NSRBIKE
Type : Classeur 3.0.1
Page(s) : 1
Taille Size: 1.40 Ko KB
Mis en ligne Uploaded: 24/10/2024 - 06:44:27
Uploadeur Uploader: NSRBIKE (Profil)
Téléchargements Downloads: 1
Visibilité Visibility: Archive publique
Shortlink : http://ti-pla.net/a4272486
Type : Classeur 3.0.1
Page(s) : 1
Taille Size: 1.40 Ko KB
Mis en ligne Uploaded: 24/10/2024 - 06:44:27
Uploadeur Uploader: NSRBIKE (Profil)
Téléchargements Downloads: 1
Visibilité Visibility: Archive publique
Shortlink : http://ti-pla.net/a4272486
Description
Fichier Nspire généré sur TI-Planet.org.
Compatible OS 3.0 et ultérieurs.
<<
* Intercept: 6.97 This is the expected value of sales when the TV advertising expenditure is zero. * Slope for TV: 0.055 This indicates that for each additional unit of expenditure on TV advertising, sales are expected to increase by approximately 0.055 units. * The R-squared value of 0.81 indicates a strong positive relationship between TV advertising expenditure and sales. * Intercept: 12.24 This is the expected value of sales when the radio advertising expenditure is zero. * Slope for Radio: 0.12 This indicates that for each additional unit of expenditure on radio advertising, sales are expected to increase by approximately 0.12 units. * The R-squared value of 0.12 indicates a weak relationship between radio advertising and sales. * Intercept: 13.96 This is the expected value of sales when the newspaper advertising expenditure is zero. * Slope for newspaper: 0.038 This indicates that for each additional unit of expenditure on newspaper advertising, sales are expected to increase by approximately 0.038 units. * The R-squared value of 0.025 indicates a weak relationship between newspaper advertising and sales. Made with nCreator - tiplanet.org
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Compatible OS 3.0 et ultérieurs.
<<
* Intercept: 6.97 This is the expected value of sales when the TV advertising expenditure is zero. * Slope for TV: 0.055 This indicates that for each additional unit of expenditure on TV advertising, sales are expected to increase by approximately 0.055 units. * The R-squared value of 0.81 indicates a strong positive relationship between TV advertising expenditure and sales. * Intercept: 12.24 This is the expected value of sales when the radio advertising expenditure is zero. * Slope for Radio: 0.12 This indicates that for each additional unit of expenditure on radio advertising, sales are expected to increase by approximately 0.12 units. * The R-squared value of 0.12 indicates a weak relationship between radio advertising and sales. * Intercept: 13.96 This is the expected value of sales when the newspaper advertising expenditure is zero. * Slope for newspaper: 0.038 This indicates that for each additional unit of expenditure on newspaper advertising, sales are expected to increase by approximately 0.038 units. * The R-squared value of 0.025 indicates a weak relationship between newspaper advertising and sales. Made with nCreator - tiplanet.org
>>
