That is, we envision an additive model that says every data point can be represented by summing three quantities: the true mean, averaged over all factor levels being investigated, plus an incremental component associated with the particular column (factor level), plus a final component associated with everything else affecting that specific data value.
ðæt ˈɪz, wiː ɛnvˈɪʒən ɐn ˈædᵻtˌɪv mˈɑːdəl ðæt sˈɛz ˈɛvɹi dˈeɪɾə pˈɔɪnt kæn biː ɹˌɛpɹᵻzˈɛntᵻd baɪ sˈʌmɪŋ θɹˈiː kwˈɔntᵻɾiz: ðə tɹˈuː mˈiːn, ˈævɹɪdʒd ˌoʊvɚɹ ˈɔːl fˈæktɚ lˈɛvəlz bˌiːɪŋ ɪnvˈɛstᵻɡˌeɪɾᵻd, plˈʌs ɐn ˌɪŋkɹɪmˈɛntəl kəmpˈoʊnənt ɐsˈoʊsɪˌeɪɾᵻd wɪððə pɚtˈɪkjʊlɚ kˈɑːlʌm fˈæktɚ lˈɛvəl, plˈʌs ɐ fˈaɪnəl kəmpˈoʊnənt ɐsˈoʊsɪˌeɪɾᵻd wɪð ˈɛvɹɪθˌɪŋ ˈɛls ɐfˈɛktɪŋ ðæt spəsˈɪfɪk dˈeɪɾə vˈæljuː.